huaishengzhu

Cola-DLM. The codebase of Cola DLM

ELF-pytorch. Python

ELF. Python

daVinci-LLM.

minimind. 🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

GUI-AIMA. GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding

Simple-Denoising-Diffusion-Language-Models.

sleepless-agent. 🤖 24/7 AI agent that maximizes Claude Code Pro usage via Slack. Auto-processes tasks, manages isolated workspaces, creates Git commits/PRs, and optimizes day/night usage thresholds.

ContextAgent. Context-central multi-agent framework with PyTorch-like API. Build intelligent agent systems with minimal code.

didi-instruct. [ICLR 2026] Discrete Diffusion Divergence Instruct (DiDi-Instruct)

avataRL. rl from zero pretrain, can it be done? yes.

MeanFlow-PyTorch. PyTorch re-implementation for MeanFlow

meanflow. JAX implementation of MeanFlow

MeanFlow. PyTorch implementation of MeanFlow & iMF (one-step generative modeling).

OpenManus. No fortress, purely open ground. OpenManus is Coming.

rectified-flow-pytorch. Implementation of rectified flow and some of its followup research / improvements in Pytorch

ToRL. Python

duo. [ICML 2025] The Diffusion Duality

imm. Official implementation of Inductive Moment Matching

CritiqueFineTuning. Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]

ReaLHF. Super-Efficient RLHF Training of LLMs with Parameter Reallocation

verl. verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

ReMax. Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

trl. Train transformer language models with reinforcement learning.

tfds_builders. A set of TFDS dataset builders for common datasets

RectifiedFlow. Official Implementation of Rectified Flow (ICLR2023 Spotlight)

ddpm-torch. Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

LVLM-Hallucinations-Survey. This is the first released survey paper on hallucinations of large vision-language models (LVLMs). To keep track of this field and continuously update our survey, we maintain this repository of relevant references.

pytorch-ddpm. Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Awesome-LLM-Uncertainty-Reliability-Robustness. Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Awesome-MLLM-Safety. Accepted by IJCAI-24 Survey Track

awesome-ai-research-intern-list. List of AI Internships

diffusion-nlp-paper-arxiv. Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".

awesome-ssm-ml. Reading list for research topics in state-space models

latent-consistency-model. Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

mamba. Mamba SSM architecture

DiffDock. Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

awesome-molecular-docking. We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

fiftyone. Refine high-quality datasets and visual AI models

icml18-jtnn. Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

multitask_text_and_chemistry_t5. Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023

gt4sd-core. GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Awesome-Multimodal-Large-Language-Models. :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Awesome-Language-Model-on-Graphs. A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)

Awesome-Graph-Contrastive-Learning-with-Heterophily. Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

awesome-large-graph-model. Papers about large graph models.

clone_anonymous_github. clone/download repositories from https://anonymous.4open.science/

ICL_PaperList. Paper List for In-context Learning 🌷

awesome-molecular-generation. Awesome papers related to generative molecular modeling and design.

Generalization-Causality. 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Awesome-Knowledge-Distillation. Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

awesome-trustworthy-deep-learning. A curated list of trustworthy deep learning papers. Continually updating...

awesome-graph-explainability-papers. Papers about explainability of GNNs

Awesome-Learning-with-Label-Noise. A curated list of resources for Learning with Noisy Labels

awesome-graph-attack-papers. Adversarial attacks and defenses on Graph Neural Networks.

PyTorch-VAE. A Collection of Variational Autoencoders (VAE) in PyTorch.

Gumbel_Softmax_VAE. PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

joint-vae. Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

awesome-ebm. Collecting research materials on energy/entropy based models

GeneralizedEBM. Python

DHGNN. DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

HyperGCN. NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

GNN4NLP-Papers. A list of recent papers about Graph Neural Network methods applied in NLP areas.

rdkit. The official sources for the RDKit library

pygcn. Graph Convolutional Networks in PyTorch