PyTorch extensions for high performance and large scale training.
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Published by msbaines almost 4 years ago
Published by msbaines about 4 years ago
In this repository, I will share some useful notes and references about deploying deep learning-b...
An open-source AutoML Library based on PyTorch
Hackable and optimized Transformers building blocks, supporting a composable construction.
š¤ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Unsupervised Language Modeling at scale for robust sentiment classification
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
High-level library to help with training and evaluating neural networks in PyTorch flexibly and t...
Collection of common code that's shared among different research projects in FAIR computer vision...
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video ...
š A simple way to launch, train, and use PyTorch models on almost any device and distributed conf...
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DP...
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating poin...
A collection of computer vision pre-trained models.