Densenet pytorch jobs
I would to have a pytorch algorithm, trained on data from , that will determine the probability of the winner of a chess match based on the username, user game history (if applicable) Elo rating, state of the board, and time remaining in the chess match.
You need to have knowledge of python, pytorch.
...communities, schools & business executive headshots. We are looking for some automated portrait enhancement along with a background removal solution. In addition to the removal of background, some of the additional enhancements we are looking are Remove stray hairs Remove shades on the faces We encourage more enhancements but can be optional Currently, we do have some python-based AI algorithm (PyTorch & open cv based) that does the background removal with 80-90% success. We are looking for a solution that is more accurate and faster 10-20 (minimum) photos per minute with source code for future extendibility. Photos are high quality (1024X 1024) or above. Quality is more important. Runtime would be linux, python 3*. Expected By : Dec 15 Would like to see your ...
...ion task is not allowed. 2. Do a search to find quality papers. You can search on google scholars,, IEEEXplore (://). Top conferences include NeurIPS, CVPR, ECCV, ICCV, ICML. 3. Once you find candidate papers, do a literature survey (read the abstract, intro, and results) to pick the one that you can work, Find online PyTorch code. 4. Read the dataset part carefully. Look into their code and dataset to find how the data needed to be formatted. 5. You need to build your own dataset. Select the source that you will be using and provide few samples as examples in the proposal. Mention if you will be using any tools for annotation. The source should be something that possibly have not been used before for building dataset
We are looking for software developers who can create software developer training content for technical skills like Kafka, Kubernete, Pytorch, Scala, Snowflake, Ruby, MongoDB, PowerBI and many more. Please apply for this project if you can speak good English and explain well in a video format We plan to develop a lot of content. The compensation will be $15 - $25 per hour based on your experience. Once you apply to this project, we will review your profile and decide if we wish to move ahead.
SAMPLE DATA =========== Model (YOLOX): (and ) -> Test image: (see uploaded files here) Analysis done with YOLOv7: !python --weights --img-size 1344 --source ... --save-txt Results (see uploaded files here): as text: image: TASK ==== Inference with C++ ------------------ Remark: Only use OpenCV via vcpkg, no other libraries are allowed. (You can ask if you want to use another library.) 1) Setup a concole C++ Visual Studio 2022 project (or Embarcadero C++ Builder 11 project). No cmake! 2) Use *.onnx trained model from above 3) Calculate images from above with CPU, show results (rectangles around objects found), save results as tab-delimited text file 4) Results have to be equal to results above (5) Nice to have: Same in python) -> Send source code for C++ project ...
Optimize neural network as per supplementary requirements, using Pytorch.
Description: - Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals; - Strong Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming sk...Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions. Ways to stand out from the crowd: - Experience with Bayesian Networks; - Familiarity with PyTorch or Caffe; - Knowledge of optimization ...
Bug with PyTorch training a time series model.
Hi. I am having trouble using a deep learning model (transformer model on PyTorch) for my time series prediction task. The code keeps having the error.
...BE DONE FAST, SO IF YOU CANNOT START RIGHT AWAY AND PUT A LOT OF FOCUS THEN YOU NEED NOT APPLY) Method: You will have to create your own dataset (download text from cloud database of your choice) and model in C++. This project is mostly about the SHAP algorithm but needs to be able to be tested locally so the other components need to be produced at least to test it. So I don't care if you use pytorch c++ or what model you use and the details behind that. Whatever gets the job done fastest. Deliverable:I need the functions well documented to run. Probably need something LIKE the following: shap.h: all of the information to instantiate and store, etc... : calls load data function, instantiates c++bert/wordembedding transformers..., trains ANN explain_cpp: instantiates SHAP,...
...FAST, SO IF YOU CANNOT START RIGHT AWAY AND PUT A LOT OF FOCUS THEN YOU NEED NOT APPLY) Method: You will have to create your own dataset (download remote images from cloud database of your choice) and model in C++. This project is mostly about the SHAP algorithm but needs to be able to be tested locally so the other components need to be produced at least to test it. So I don't care if you use pytorch c++ or what model you use and the details behind that. Whatever gets the job done fastest. Deliverable:I need the functions well documented to run. Probably need something LIKE the following: shap.h: all of the information to instantiate and store, etc... : calls load data function, instantiates inception/cnn/..., trains ANN explain_cpp: instantiates SHAP, creates local pre...
Hi, I'm looking for a deep learning expert to work on an exciting project in deep learning. Must be professional in Pytorch. The project is related to class-incremental learning field. Duration is 2 weeks.
First step: We need an AI that is able to detect elephant rumbles from jungle recordings. Additionally: The AI should show it's predictions (time-stamps from a sound file) and we should be able to tell the AI if it is true or not. So we can train the AI further with...run on a solar powered microcontroller (ESP32) as an elephant detector while it is constantly listening in the jungle with a connected microphone. These detectors will be able to spot elephants before they reach a farm or village and warn rangers in that area who can deal with that situation. This will prevent human-elephant-conflict. As far as i know only Tensorflow (With Tesnorflow Lite) or PyTorch (with TinyML)are able to run on a ESP32. Which should be considered. If you have any further questions. Feel fre...
I have a very basic neural network coded in Pytorch for a binary classification problem, however I am not getting expected results for training/prediction, although the code itself runs without errors. I would like someone to look at the code and identify the error and how to fix it. The code is short (around 100 lines), of which it is generally quite basic. The freelancer should be familiar with building neural networks in Pytorch for binary classification, including the use of BCEwithlogitsloss function. I would estimate this to take only 30 mins or so to understand the code and identify the problem. I will prioritise people who can start work immediately. I will provide the tensor input file and code when hiring, it is quite basic.
We are looking for software developers who can create software developer training content for technical skills like Kafka, Kubernete, Pytorch, Scala, Snowflake, Ruby, MongoDB, PowerBI and many more. Please apply for this project if you can speak good English and explain well in a video format We plan to develop a lot of content. The compensation will be $15 - $25 per hour based on your experience. Once you apply to this project, we will review your profile and decide if we wish to move ahead
I need to run a project which is yoloyv3 in spider link for project link for some projects using same works
A program has to be developed for malware detection using malconv using python on pytorch. Same is for image processing. The data set is provided.
There are approximately 1700 “X” pictures and 700 “Y” pictures. The goal is to enter a new picture to the computer, in Python and he will be able to tell us if it is a “X” or “Y” pictures. The desired rate of success for ...program should support both MAC M1 (support for its neural engine) and windows PC. I know I don’t have enough “Y” pictures, but for the sake of work you can train 1500 “X” pics and 500 “Y” pics and then input the remaining 200 of each to the neural network, to test the results (How it handles new pictures) There is a must to use Python language, with known and trusted frameworks: TensorFlow, Pytorch, Keras, Numpy etc. At the end I will get the code, and FULL explanation how...
SAMPLE DATA =========== Sample images are in the attached zip under CreatedImages The annotations are given in the text files Suppose data is in Google Drive under '/content/gdrive/MyDrive/SampleObjectDetection02/od01/' So start with an Colab notebook like: from import drive ("/content/gdrive", force_remount=True) dir = '/content/gdrive/MyDrive/SampleObjectDetection02/od01/' %cd {dir} TASKS ===== I) Training in Colab -------------------- Remark: This all has to be done in Colab. (For development you nust ahve a Colab environment on your own!) 1) Prepare data for use in training using a pretrained YOLOX model 2) Train model and show how to set the following training features: - selection of pretrained model (YOLOX-s, YOLOX-x,...) - settings for data aug...
Looking for an experienced computer vision engineer to deploy pre-built computer vision models into NVIDIA jetson nano. Must be experienced with Linux-based hardware like Nvidia Jetson Nano. Required Experience: Proficient in Python and OpenCV Deep Learning & NLP Computer Vision Hands-on experience with TensorRT Familiarity with deep learning frameworks like Pytorch, and Tensorflow Experience with Linux-based hardware like Nvidia Jetson Nano Experience working on deploying Computer Vision models on Edge hardware like Jetson nano
I have a piece of code that has support for MultiGPU but the code is implemented only for GPU[0] explicitly. I want to you help me change the code such that all 4 GPUs are used.
I have texts consisting of more words than 10000. and I have another texts consisting of 15 words. I want to get most similar words in between two texts and follow my entity. and, I want to implement this android app. If you are confidence in tensorflow and NLP, please bid. Thanks.
Hello, i have a project in order to detect objects in live camera and save images and video of the events. They working in python with anaconda pytorch torchvision right now. We want to upgrade the algorithm in YOLO so we want a expert to do this. All the work need to make remote with ssh. I can do the training of the yolo (under your instructions) so you not have lost time for training etc.
I am used to TensorFlow, I need someone explaining a PyTorch code. Why does the step function take a loss? I have further questions, So I like to have 30 min Zoom to only share my screen, I will provide the link.
I have an already implemented densenet based deeplearning model for hyperspectral image segmentation and want to add an attention module in that existing model.
...Required Skills: ============ 1) AI Architect/Expert who already must deal with production-grade end-to-end, data-to-deployments of AI models with vast knowledge, and experience in AI- ML/ML space to act as an advisory consultant. 2) Hands-on experience in a production deployment of machine learning, deep learning, AIOps, image processing, voice recognition, AI Chatbot, Python, Tensorflow, Pytorch, and Handling ML/DL projects in both Hybrid and Cloud environments. 3) AI Expert should be able to act independently and have the ability to delegate tasks to a small team and should be capable to interact with Techno-Management to understand business goals and to provide technical consultations, and progress updates of deliverables. 4) Creating and taking control over MLOps/AIOps ...
I have a pre-trained model that fine-tuned on Stance Detection task. I would like to further improve the model by implementing a multi-task learning, specifically by combining three tasks: stance, sentiment, sarcasm, in order to improve the performance of the target task (i.e., stance detection). Upon confirming, the repository including the data ...fine-tuned on Stance Detection task. I would like to further improve the model by implementing a multi-task learning, specifically by combining three tasks: stance, sentiment, sarcasm, in order to improve the performance of the target task (i.e., stance detection). Upon confirming, the repository including the data and the code used to fine-tune BERT-based models for stance detection (using PyTorch Lightning framework) will be shared...
Hi In progress of Pytorch I have some errors. Here is picture like this.
We have an existing Python based Windows desktop software where users can upload photos of lost people and found people. The software is for the purpose of searching for people who have been lost. The software is hosted in a server. And it's a multiuser software. It means many remote users have the software installed in their PC. Every user has an username and password that he/she uses to log in to his/her account in the software. The application also works as a website. So the users can alternatively log in to their account by visiting our server IP from a browser and then entering their username, password. So, our Windows software/website already has a database of photos of lost and found people. It uses MySQL database. The user account has 3 pages - "Matched photos", &q...
Hello all, I am building a model to segment and classify tree canopies from a dataset that I have created using drone imagery. I have a functioning model and architecture but am hoping to increase the accuracy by either modifying the way data passes through the model or by implementing modifications to the architecture (currently a base U-Net). I have some budget left over from a grant so I thought it may be helpful to bring in some expertise as programming is not my main domain. My budget is around $1,000 and I don't anticipate this being overly arduous work for someone who is an experienced ML scientist. I imagine there are novice errors incipient in the model that could be corrected. Beyond model performance, I would like to explore two advanced architectures and the best way to i...
Project title: Anomaly detection using graph neural networks (GNN) I found a project source code on github, and I need someone to teach me on how to run it (and possibly make minor changes to it). Preferably someone with computer science/data science background, but others with experience are welcomed to teach me. project requirements: python, pytorch, CUDA
I have some machine learning questions to be solved in a tight deadline. I have some codes already done and just need to edit them to remove plagiarism and some questions need new work. I want part 1 q4 and q5 from scratch and part 2 i have all codes just need redoing.
I have some machine learning questions to be solved in a tight deadline. I have some codes already done and just need to edit them to remove plagiarism and some questions need new work.
Use pytorch to build a neural network and implement the alternative minimization algorithm. Apply it on a dataset- train and test
I need a capable pytorch programmer who is able to develop a pytorch based RNN, more precisely a GRU which is able to be used in the framework "Pytorch-Forecasting". The GRU must be able to receive the dataloaders of the framwork's own TimeSeriesDataset. The framework is based on PyTorch and already has a GRU integrated. The problem is that the GRU cannot process covariates. However, I have several covariates and therefore need a GRU that can handle the dataloader. The problem is described here for example: The cause is described by someone like this: According to the docs it is possible to implement your own models:
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
We are looking for a machine learning expert (TensorFlow or PyTorch) who can help us run an Image Super-Resolution model ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks). Here are details of the model to run: Additional research links: We have a full testing environment setup on Ubuntu 22.04 with TensorFlow 2 and NVIDIA GPU (RTX 3060). The task is to prepare for us a python script which will read low-resolution image and output super-resolution
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
I need someone to convert Keras code that creates saliency maps for 1D data to PyTorch witch a specific dimension in mind. Attached are the images that it should create
A startup that develops and sells image analysis web applications ,develop of microscope hardware, in the medical, life sciences, and industrial fields. The technologies I want are vue.js, React, docker, fast api, json, Azure, GCP, tensorflow, u-net, pytorch, caffe, and so on. We want developers who are collaborative, communicative, and responsive. The working time zone depends on JST. We are looking for friends who can sympathize with our philosophy.
I have a model consisting of 5 steps of LSTM, where the outputs at each step are one-dimensional and the input at each stage is a 3-dimensional vector which is the output of CNN. The CNN corresponding to each step consists of 4 convolutional layers and one pooling, and the CNNs at each step are different (so I have a total of 5 independent CNNs, one for each LSTM step). I tried with no success to train to model and to get a good loss in the training and test sets. I am looking for somebody who can train the model and give a good loss (mean absolute relative error (avg(abs(predicted-real)/real)) less than 10%) for the train and the test set. It is important to give figures of the loss over iterations and how it converges and other figures showing the good results for training and testing a...
Automatic speech recognition using Pytorch/Speechbrain with novelty.
