#python #deep_learning #pytorch #drug_discovery #graph_neural_networks
https://github.com/DeepGraphLearning/torchdrug
https://github.com/DeepGraphLearning/torchdrug
GitHub
GitHub - DeepGraphLearning/torchdrug: A powerful and flexible machine learning platform for drug discovery
A powerful and flexible machine learning platform for drug discovery - DeepGraphLearning/torchdrug
#python #biology #deep_learning #drug_discovery #hacktoberfest #materials_science #quantum_chemistry
https://github.com/deepchem/deepchem
https://github.com/deepchem/deepchem
GitHub
GitHub - deepchem/deepchem: Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology - deepchem/deepchem
#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation
This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.
https://github.com/NVIDIA/DeepLearningExamples
This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.
https://github.com/NVIDIA/DeepLearningExamples
GitHub
GitHub - NVIDIA/DeepLearningExamples: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with…
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. - NVIDIA/DeepLearningExamples