pytorch

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

maximal update parametrization (µP)

PyTorch for Semantic Segmentation

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

A lightweight library for PyTorch training tools and utilities

PyTorch tutorials and best practices.

Automated Machine Learning on Kubernetes

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

High-performance automatic differentiation of LLVM and MLIR.

An offline deep reinforcement learning library

A state-of-the-art semi-supervised method for image recognition

A unified framework for Deep Learning Models on tabular data

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Collection of google colaboratory notebooks for fast and easy experiments

Synthetic data generators for tabular and time-series data

Generate images from texts. In Russian

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Open-source LLM-based ASR model family for Chinese, dialect, accent, and multilingual speech, with FunASR, vLLM, streaming, and llama.cpp runtimes.