PyTorch Best Practices
@PyTorchPractice
PyTorch Best Practices @ http://LeaderGPU.com. #deeplearning #machinelearning #pytorch #ml #ai #neuralnetworks
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The official PyTorch implementation of Google's Gemma models github.com/google/gemma_p… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
PyTorch code and models for V-JEPA self-supervised learning from video. github.com/facebookresear… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Graph Neural Network Library for PyTorch github.com/pyg-team/pytor… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Implementation of Soft Actor Critic and some of its improvements in Pytorch github.com/lucidrains/SAC… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
The Dataflux Dataset for PyTorch is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. github.com/GoogleCloudPla… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI github.com/lucidrains/sel… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch github.com/lucidrains/lum… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
Train Models Contrastively in Pytorch github.com/nomic-ai/contr… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
The spiritual successor to knockknock for #PyTorch Lightning, get notified when your training ends github.com/twsl/whos-there #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
Spandrel is a library for loading and running pre-trained PyTorch models. github.com/chaiNNer-org/s… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Eloquent interface to Tensorflow Lite for Microcontrollers github.com/eloquentarduin… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #tensorflow #arduino
Hackable implementation of state-of-the-art open-source large language models released under the Apache 2.0 license. github.com/Lightning-AI/l… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
TorchCFM: a Conditional Flow Matching library github.com/atong01/condit… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python. github.com/pytorch-labs/g… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
Implementation of MeshGPT, SOTA Mesh generation using Attention, in #Pytorch github.com/lucidrains/mes… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs github.com/mkshing/ziplor… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
Official #Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models. github.com/somepago/DCR #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
A #PyTorch based deep-learning toolkit for developing DL models for physical systems github.com/NVIDIA/modulus #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in #Pytorch github.com/lucidrains/met… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
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