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    209 senet pytorch jobs found, pricing in CAD

    We are looking for talented Computer Vision engineers. Project consists from 4 key parts: 1. Head pose estimation - upgrade existing solution to work under various lighting conditions, and angles. Tech stack: TensorFlow and OpenCV. 2. Understanding the 3D layout of the room from the set of images. 3. Calculating the precise location of human, and his head+body positioning (see part#1) within th...

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    Need someone expert in detecting rotated bounding box and Pytorch to review Pytorch code for detecting rotated bounding boxes. The expected job is to: 1. Datagenerator review (presently its slow due to slow calculation of iou of rotated bounding boxes) 2. Review, theoretical understanding and tweaking of all hyperparameters like scale, min and max size etc (Need to tweak the same for our custom d...

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    Hello, colleagues! Our company makes vending food refrigerators. There is a camera installed on top of each fridge. Please see the attached clip. We need an algorithm that will process a video stream: 1) start video recording when the door is opened and finish when it is closed 2) During this period of time, we need to count how much people were in the frame 2) How many times hand with goods we...

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    If you are experienced in A3C and PSO algorithms, and can create an algorithm that combine those two, please apply. I will give you the algorithm I currently have and I am open for change if you feel it needs. I need the implementation to be done in pytorch. Details will be given in privately. Thank you,

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    Create a DL model in PyTorch that classifies different objects in a frame of a video in real-time with binding boxes for visualization(refer to YOLO).

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    I am looking for Optimization using TensorRT. I need to convert Pytorch(GAn) model to TensorRT, running the inference doing different optimization. I have already convert Pytorch model to onnx. So I need to convert onnx model to TensorRT now.

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    I am looking for Optimization using TensorRT. I need to convert Pytorch(GAn) model to TensorRT, running the inference doing different optimization. I have already convert Pytorch model to onnx. So I need to convert onnx model to TensorRT now.

    $225 (Avg Bid)
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    I am looking for Optimization using TensorRT. I need to convert Pytorch(GAn) model to TensorRT, running the inference doing different optimization. I have already convert Pytorch model to onnx. So I need to convert onnx model to TensorRT now.

    $277 (Avg Bid)
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    I am looking for Optimization using TensorRT. I need to convert Pytorch(GAn) model to TensorRT, running the inference doing different optimization.

    $648 (Avg Bid)
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    7 bids

    I am looking for Optimization using TensorRT. I need to convert Pytorch(GAn) model to TensorRT, running the inference doing different optimization.

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    I was following ([login to view URL]) project. my goal is to improve this [login to view URL] more information feel free to send me message.

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    I want a freelancer with experience in pytorch and tensorflow to reproduce results of research paper. Please contact to get more details

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    Hi intrested in pytorch project with lstm and speech recognition in digits with mfcc features?

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    who help me to solve following problem? RuntimeError: size mismatch, m1: [32 x 1568], m2: [32 x 784] at C:w1swindowspytorchatensrcTH/generic/[login to view URL]

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    I have a pyTorch CNN that accepts raw audio data (1D vector from wav file) and classifies the genre of music (from 6 different genres) with about %60 accuracy I would like three major modifications 1) For this, I would like the CNN to accept a 3d input, where each dimension is a different genre. Two of them have the same genre, and the third is different. 2) each input has a different length,...

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    i want to modify a facial recognition code working for images to process videos, it's written in OpenCV and Pytorch . [login to view URL] you can run the code by running [login to view URL] file

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    DESCRIPTION - Modify an existing open-source code base for image labeling/annotation ([login to view URL]) - Add custom features that reduce the time per image annotation - Setup hotkeys with predefined actions - Deploy, setup, and document cloud hosting and storage (Docker, AWS) - Setup user account management - Implement image transformation (warping) functions - Modify color palettes of labels ...

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    i was following one pytorch project, some part of that project is difficult for me to understand. so i am looking for expert who help me to understand and visualize. i was following [login to view URL] work. This is the pytorch implementation of "[login to view URL]" work. long story short, it took 800 normal and 810 abnormal video for training. First I want to visualize it's norm...

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    We are working on a research project and following emotions should be detected from 40 students in class room. We are already identifying sad, happy, neutral and angry etc but we need following behaviors extracted. Base project is coded in pytorch and using alphapose [login to view URL] 1 Listening/looking straight 2 Sleeping 3 Talking to other student 4 Distracted 5 Writing

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    I need a programmer who is experienced in implementing CUDA Tensorflow/Keras codes. My current code only uses 10 to 20% of the GPU / CPU. I need the programmer to enhance my current code and create two versions of the code by introducing: 1) Multi Thread CPU Version: Multi Thread CPU execution using Keras/Tensorflow or Pytorch. I expect the coder's version of the code to use 100% of the CP...

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    Create a DL model in PyTorch that classifies different objects in a frame of a video in real-time with binding boxes for visualization(refer to YOLO).

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    This is a work on a prototype system. We need to set a workflow for training SSD type networks and deploy the resulting model with OpenCV. Your task would be to train a sample MobileNet ssd network with pytorch/keras/... and do a sample inference using OpenCV. You can use any small dataset to train the network for several epochs. There is no requirement for high accuracy. Important is to see some ...

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    Hello, i need the following softwares running in qnap (NAS Server - ARM process) docker technologies. 1) KODI ([login to view URL]) - DLNA, web UI and API of KODI ports should be opened and available from browser 2) Openalpr (open source automatic licence platte recognisation - [login to view URL] code:[login to view URL]) combined with AI (Tensorflow, pytorch) 3) [login to view URL] should be i...

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    Machine learning: - Probabilistic inference experience (Baysian) - Gaussian processes - Python: numpy, pandas, either pytorch or tensorflow, either pyro or tensorflow probabilities - Active learning or Bayesian optimization (Baysian neural networks Nice to have: - AWS - Flask - Postgres database Example task: - you receive a multi-feature data set (between 3 and 100 features) which is only partly...

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    I need a programmer who is experienced in implementing CUDA Tensorflow/Keras codes. My current code only uses 10 to 20% of the GPU / CPU. I need the programmer to enhance my current code and create two versions of the code by introducing: 1) Multi Thread CPU Version: Multi Thread CPU execution using Keras/Tensorflow or Pytorch. I expect the coder's version of the code to use 100% of the CP...

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    Hey! I need someone to build a object counting system and train it to recognize and COUNT cars from drone footage. You can use any pre-trained model on any dataset you feel is relevant (COCO seems to be the one I would go for, but the choice is yours). I would recommend using Colab (because you can use the free GPU) to write the code, so we can make sure it runs correctly and there is no environm...

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    If you have experiences in lane detection, place a bid. You hvae to know well pytorch. I want python code for this project.

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    Good morning, I recently ordered a people counting algorithm. He referred to the implementation made in CSRNet-pytorch. Unfortunately he did not fully meet my initial requirement. What I need now is to train him from new images so that his accuracy is improved when the crowd is not too dense. I have 65 images with labels and would like some help generating a new training by adding to the dataset t...

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    Hello, I would like to be contacted by an expert or with experience about: - drone autonomous navigation - machine learning - lane, signal detection - RTK GPS - Ubuntu / ROS / ... Even better for future applications: - Pytorch, tensorflow vision - UAV decision algorithm - Lidar Slam Thanks

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    I wish to build an app that enables users to rate businesses. Based on their rating input, other users can get suggestions of other businesses from the app based on results made by people who made similar decisions. The app has two distinct parts: * On one side, the collaborative filtering algorithm, requiring expertise in Python and Tensorflow, Keras, PyTorch or similar, and basic cloud deploym...

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    I wish to build an app that enables users to rate businesses. Based on their rating input, other users can get suggestions of other businesses from the app based on results made by people who made similar decisions. The app has two distinct parts: * On one side, the collaborative filtering algorithm, requiring expertise in Python and Tensorflow, Keras, PyTorch or similar, and basic cloud deploym...

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    What We're Building We are building a white-label AI Digital Assistant to help financial institutions to provide 24x7 personalized customer experience across platforms. * Natural language processing ("NLP") , specifically able to understand mixed Cantonese, English and 7 other Asian languages * Speech enabled, able to understand Cantonese, Simplified Chinese and English * Platform ...

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    I have a plan to build pytorch model for palm oil detection from Aerial Imagery. I'm working with ESRI ArcGIS (GIS Software) that have deep learning function and can run Pytorch Model. Aerial Imagery is in Geotif format. We can discuss about sample and the other thing later.

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    We are a team if analyst/developers engaged in research and development projects for clients across multiple industrial sectors. Our work most often involves developing desktop applications in Python, where extensive use is made of machine learning algorithms and libraries. So we are looking to hire Python developers to join our team to work on machine learning applications. You must be an expe...

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    Data Science/Web Content Writer ------------------------------------------------- Linq PyTorch React Native Log4j Ionic Magento Laravel Bash PowerShell Latex JOB DESIGNATION Content Writer / Freelancing copywriting REQUIREMENTS Strong Communication skills Strong Presentation Skills Should have good subject knowledge Articles to be written in English An engaging tone in your writing style All ...

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    I want some piece code I wrote in cafe to be converted to pytorch. It is super small (just some classes) so it requires definitely less amount of time to be converted than the time it took me to write it and thus, ridiculous bids should be avoided (anything > 100).

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    Looking for deploying a neural network on Google collab / AWS to deploy a Pytorch implementation

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    Hi We are looking for a PyTorch developer, who can build on the following code: [login to view URL] The task is to provide the model with a custom input image (JPG or PNG), so that it can output a SVG, which is based on the input. There are already a few examples on how to approach this task, but it still needs some configuration to work properly: [login to view URL] [login to view URL] We are...

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    We are looking for AI/ML experts (preferably with work history in healthcare industry) to implement a large transformation project - You must have experience with technologies including one or more of following: tensorflow, MXNET, PyTorch etc. Ideal partner will have real world implementation experience of Cloud Services (AWS - rekognition, Sagemaker, Comprehend etc.) and/or Google AI services. P...

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    I Built a neural network model that I succeed to train, but get errors when trying to test, due to batch_size. I think I made a mistake linking batch_size to X_train. instead of any input X model is here [login to view URL]

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    Hello, I'm looking for a NLG expert who has experience with advanced NLG. What I'm looking to build is a primitive version of Wordsmith which is hopefully based on simpleNLG. It has to serve two purposes: 1. Ask questions based on data (primarily structured data) and display charts based on the question generated 2. Make statement based on charts As a reference please take a look at ...

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    Developers from Serbia and Ukraine. We are looking for machine learning engineers (2 profiles) that will help build the Natural Language Engine that will power our chatbot product, sentiment analysis product and other NLP-based products. Ascendum would be providing these products to Fortune 500 companies. This is a great opportunity to work on an extremely impactful and technically challenging p...

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    Developers from Serbia and Ukraine. We are looking for machine learning engineers (2 profiles) that will help build the Natural Language Engine that will power our chatbot product, sentiment analysis product and other NLP-based products. Ascendum would be providing these products to Fortune 500 companies. This is a great opportunity to work on an extremely impactful and technically challenging p...

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    Looking for a developer with ML skill. Requirement: - create a model to be implemented into Neural Network. - MatLab, OpenCV, Predictive Modeling, PyTorch

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    Implement Machine Learning Linear and Logistic Regression, on the CIFAR-10 dataset using pytorch. You need to able to do this in the next 5 hours. I have everything ready for you, you just need to manipulate X_train and y_train dataset to feed it to the training cycle of Linear and then on Logistic regression.

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    Count the cars on a video that passes on the street but I need to use Pytorch

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    I need data scientist with experience in Python, Convolutional Neural Networks , MLPs and PyTorch. Please reach out with relevant samples.

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    Project requires a ML implementation for the transcription and information capture of meetings. The solution needs to utilize Speech detection and NLP (Natural Language Processing) to enable the following: • Transcription of the meeting whereby each speaker in uniquely identified and timestamped • NLP to glean action items and deliverables mentioned in the transcript. • Meetings wo...

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    I have a Resnet50 model, which can predict clothes of 50 categories, implemented as Resnet50, tensorflow. I need a top-skill freelancer, who can convert this model to pytorch.

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    The basic task is the co-extraction of aspect and opinion terms from the data using python ;angauge . The freelancer should have deep understanding and knowledge of different RNN deep learning algorithms, like LSTM, GRU, Dilated RNN, Independent RNN etc. Should know how to create initial feature vectors using BERT model (It can be done using Flair Embedding). Should have done extensive work using ...

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