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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
PyTorch Tutorial for Deep Learning Researchers
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Minimal examples of data structures and algorithms in Python
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Graph Neural Network Library for PyTorch
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Minimal and clean examples of machine learning algorithms implementations
💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器（支持 gif 动态图片二维码）
A Collection of Variational Autoencoders (VAE) in PyTorch.
💬 Machine Learning Course with Python:
Transformer: PyTorch Implementation of "Attention Is All You Need"
An Open-Source Package for Knowledge Embedding (KE)
📗 The Beauty of Python Programming.
该项目是基于医疗领域知识图谱的问答系统。实现比较简单。
Implementation of TabTransformer, attention network for tabular data, in Pytorch
A full-featured forum software built on Tornado and MongoDB.
KG-BERT: BERT for Knowledge Graph Completion
My solutions for all (~350) leetcode problems, including premium.
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering