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PyTorch Best Practices @PyTorchPractice

PyTorch Best Practices @ LeaderGPU.com. #deeplearning #machinelearning #pytorch #ml #ai #neuralnetworks

Joined August 2017
  • Tweets 291
  • Following 4,673
  • Followers 14,141
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The official PyTorch implementation of Google's Gemma models github.com/google/gemma_pyto… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - google/gemma_pytorch: The official PyTorch implementation of Google's Gemma models

The official PyTorch implementation of Google's Gemma models - google/gemma_pytorch

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PyTorch code and models for V-JEPA self-supervised learning from video. github.com/facebookresearch/… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - facebookresearch/jepa: PyTorch code and models for V-JEPA self-supervised learning from...

PyTorch code and models for V-JEPA self-supervised learning from video. - facebookresearch/jepa

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Graph Neural Network Library for PyTorch github.com/pyg-team/pytorch_… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch

Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.

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Implementation of Soft Actor Critic and some of its improvements in Pytorch github.com/lucidrains/SAC-py… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
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The Dataflux Dataset for PyTorch is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. github.com/GoogleCloudPlatfo… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - GoogleCloudPlatform/gcs-connector-for-pytorch: A direct Google Cloud Storage integration...

A direct Google Cloud Storage integration for PyTorch - GoogleCloudPlatform/gcs-connector-for-pytorch

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Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI github.com/lucidrains/self-r… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - lucidrains/self-rewarding-lm-pytorch: Implementation of the training framework proposed in...

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI - lucidrains/self-rewarding-lm-pytorch

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Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch github.com/lucidrains/lumier… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
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Train Models Contrastively in Pytorch github.com/nomic-ai/contrast… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - nomic-ai/contrastors: Train Models Contrastively in Pytorch

Train Models Contrastively in Pytorch. Contribute to nomic-ai/contrastors development by creating an account on GitHub.

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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

GitHub - twsl/whos-there: The spiritual successor to knockknock for PyTorch Lightning, get notified...

The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends - twsl/whos-there

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Spandrel is a library for loading and running pre-trained PyTorch models. github.com/chaiNNer-org/span… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - chaiNNer-org/spandrel: Spandrel gives your project support for various PyTorch architect...

Spandrel gives your project support for various PyTorch architectures meant for AI Super-Resolution, restoration, and inpainting. Based on the model support implemented in chaiNNer. - chaiNNer-org/...

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Eloquent interface to Tensorflow Lite for Microcontrollers github.com/eloquentarduino/E… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #tensorflow #arduino

GitHub - eloquentarduino/EloquentTinyML: Eloquent interface to Tensorflow Lite for Microcontrollers

Eloquent interface to Tensorflow Lite for Microcontrollers - eloquentarduino/EloquentTinyML

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Hackable implementation of state-of-the-art open-source large language models released under the Apache 2.0 license. github.com/Lightning-AI/lit-… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch

GitHub - Lightning-AI/litgpt: 20 high-performance LLMs with recipes to pretrain, finetune and...

20 high-performance LLMs with recipes to pretrain, finetune and deploy at scale. - Lightning-AI/litgpt

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TorchCFM: a Conditional Flow Matching library github.com/atong01/condition… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - atong01/conditional-flow-matching: TorchCFM: a Conditional Flow Matching library

TorchCFM: a Conditional Flow Matching library. Contribute to atong01/conditional-flow-matching development by creating an account on GitHub.

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Simple and efficient pytorch-native transformer text generation in <1000 LOC of python. github.com/pytorch-labs/gpt-… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch

GitHub - meta-pytorch/gpt-fast: Simple and efficient pytorch-native transformer text generation in...

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python. - meta-pytorch/gpt-fast

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Implementation of MeshGPT, SOTA Mesh generation using Attention, in #Pytorch github.com/lucidrains/meshgp… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience

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Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs github.com/mkshing/ziplora-p… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

GitHub - mkshing/ziplora-pytorch: Implementation of "ZipLoRA: Any Subject in Any Style by Effecti...

Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs" - mkshing/ziplora-pytorch

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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

GitHub - somepago/DCR: Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding...

Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models. - somepago/DCR

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A #PyTorch based deep-learning toolkit for developing DL models for physical systems github.com/NVIDIA/modulus #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience

GitHub - NVIDIA/physicsnemo: Open-source deep-learning framework for building, training, and...

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods - NVIDIA/physicsnemo

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Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in #Pytorch github.com/lucidrains/metnet… #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience

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Modern Fixed Point Systems using #Pytorch github.com/locuslab/torchdeq #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience

GitHub - locuslab/torchdeq: Modern Fixed Point Systems using Pytorch

Modern Fixed Point Systems using Pytorch. Contribute to locuslab/torchdeq development by creating an account on GitHub.

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