python project -- 2
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a project in python programing
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Read morePython Project -- 6510
anyone having experience in python programming
Read moreGraph CNNs for image segmentation of thoracic images for automating COVID-19 diagnosis
1. Designing a framework to convert thoracic CT images into a graph-representation, specifically for lung-region based segmentation. 2. Designing a Graph-CNN to...
Read moreml task - tune a model
hi this is a model tuning task
Read moreGraph CNNs for image segmentation of thoracic images for automating COVID-19 diagnosis
1. Designing a framework to convert thoracic CT images into a graph-representation, specifically for lung-region based segmentation. 2. Designing a Graph-CNN to...
Read moreSolve task related to yolov5
I have implemented yolov5 on my custom dataset, and I want to get features from specific layer.
Read moresimple code refactoring in python/pytorch
simple code refactoring in python/pytorch for nlp app
Read moreSimple deep artificial neural network in Python
Hello! I tried to find out if a deep artificial neural networks is able to "understand" the rules of a chess game. So I built such a network and feed it with a...
Read moreImplement Faster R-CNN on my custom dataset -- 2
I want to implement Faster R-CNN Pytorch on my custom dataset.
Read morebuild ML models for a mobile app
The app will input a question in a form of image (which can include words as well as equations) and use an OCR model to convert it to text (and Latex coded text...
Read moremachine learning
please see the attached file to have better description in this project, you will need to train a simple Logistic Regression model. You can use any machine lear...
Read moreDeep learning use pytorch
A deep learning project need be done within 4days
Read moreneed help with code refactoring in pytorch
there is a code that using pytorch lstm, need to refacor it to use lstmcell & validate it+explanation
Read moreGradient accumulation in Pytorch
Implement gradient accumulation on https://github.com/opendilab/DI-star/blob/main/distar/agent/default/sl_learner.py
Read moreImplementation of paper(python: pytorch) -- 2
I am looking for a implementation of the enclosed joint learning paper (Looking_at_Boundary) with a backbone of ResUTNet-50 instead of the convolutional backbon...
Read moreConvert PyTorch to ONNX
I need 2 TorchScript PyTorch .PT files and accompanying v1.9.0 metadata into an ONNX format needed for a C# project.
Read morecustom dataset for sentence pair classification
Ref https://github.com/zzy99/epidemic-sentence-pair/tree/master/code Use the above sample code as the base for the training, dataset will be provided.
Read moreFine-tuning and documented Deep Learning Model
I need to fine-tune two different pre-trained wav2vec 2.0 models. The model should be fine-tuned for both Hungarian and Turkish languages (separate models). The...
Read moreCreate Ensemble method for preexisting motion prediction model
This project is a continuation of the kaggle completion whose description can be found here: (https://www.kaggle.com/competitions/lyft-motion-prediction-autonom...
Read moreHand eye calibration using Point Clouds
Hi, I am a student and require this for my Final Project. I’ll briefly describe the Project. Point Cloud Registration: Use integration of existing approaches (u...
Read moreImplementation PixelCNN
Working through a Jupyter Notebook and implement a PixelCNN. A already have some approaches for the first tasks
Read moreComputer vision Engineer
Preparing datasets for training ● Find public data and/or restructure data suitable for the project ● Responsible for design and development of different types...
Read moreCalculate PyTorch Model Accuracy
I have a project wherein I want to calculate accuracy of Pytorch Modal. I am using kaggle notebook and it has a modal and I wanted to calculate accuracy for the...
Read moreMachine Learning Expert needed
I am looking for a Machine Learning Expert who can help me. Python and Tensorflow, Pytorch skills needed.
Read moreDebugging and Training 2 combined models as one on PyTorch (Python-3)
I am working on combining a U-Net (model) with a Vision Transformer (model) to achieve the task of removing weather-based noise from input images (rain, snow, f...
Read moreSkin Cancer Image Generation using Generative Adversarial Network (ACGAN)
High-quality skin cancer image generation using Generative Adversarial Networks (ACGAN). The dataset is available at https://www.kaggle.com/competitions/siim-is...
Read moreKey information extraction from invoice document with Graph Convolution Network
we study the problem of how to improve KIE ability by automatically making full use of the textual and visual features n We introduce the improved graph learnin...
Read moreSenior Data Scientist with experience in NLP, PyTorch (Native Thai speaker)
We're looking for a freelance Senior Data Scientist (5+ years experience) for a 3 month project who speaks native Thai.
Read moreNeed Python Developers
I need a python developer who is familiar with image processing. Need to build a backend to remove the background in the uploaded image. If you have already suf...
Read moreRewrite or reimplement a given pytorch Deep Learning Algorithm to a non-distributed Version (modify an existent and completed project)
You get the detailed description of a deep learning method. It is from the paper here: https://arxiv.org/abs/2110.07402. The project is already completely imple...
Read moreBuild XLM-Roberta transformer
Build XLM-Roberta transformer for semantic similarity for news articles
Read moreDisease detection and prediction using medical image classification
my objective is to apply medical image classification by applying graph convolution networks pre-trained to the deep learning model. Further details I can expla...
Read moreConvert a Pytorch notebook to Keras
You need to convert a PyTorch notebook to Keras. Without errors. It comes from a prestigious book and it is 100% correct. https://github.com/EdwardRaff/Inside-D...
Read moreDeep Learning Python - Implementing a Domain Adaptation Model -- 4
Will use PyTorch in Jupyter Notebook
Read moreTransfer Learning solution in Jupiter notebook
Transfer Learning When we have smaller datset, it is benefiical to use transfer learning--training on a larger dataset and then use that pretrained model to fin...
Read moreI need help fixing an error for a code. (Need is in less than 5 hours)
I am trying to use ML methods in Python to balance data using SMOTE and then running Logistic Regression using Test/Train methods. I am also trying to run Stats...
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