pytorch

Zig INferenCe Engine — Local LLM inference on AMD GPUs and Apple Silicon

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

OCR自动化阅卷项目

Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

Official implementation of AsymFlow, pi-Flow, GMFlow

A Conversational Assistant equipped with synthetic voices including J.A.R.V.I.S's. Powered by OpenAI and IBM Watson APIs and a Tacotron model for voice generation.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Large Language Models for All, 🦙 Cult and More, Stay in touch !

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

🎨 Ready-to-use DeepSeek-OCR Web UI | Modern Interface | 7 Recognition Modes | Batch Processing | Real-time Logging | Fully Responsive

[CVPR 2025 Highlight] Official code for "Olympus: A Universal Task Router for Computer Vision Tasks"

An SDK/Python library for Automatic 1111 to run state-of-the-art diffusion models

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

SQuAD Question Answering Using BERT, PyTorch

CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊