🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

PyTorch-IE Hydra Template

An open collection of methodologies to help with successful training of large language models.

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS ev…

A Unified Toolkit for Deep Learning Based Document Image Analysis

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Development repository for the Triton language and compiler

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemen…

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

XFUND: A Multilingual Form Understanding Benchmark

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

🦜🔗 Build context-aware reasoning applications

Hypermodern Python Cookiecutter

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

A Python package to assess and improve fairness of machine learning models.

PyTorch-IE: State-of-the-art Information Extraction in PyTorch

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Serve, optimize and scale PyTorch models in production

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Stochastic Automatic Differentiation library for PyTorch.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows