Tao Hu

A summary of related works about flow matching, stochastic interpolants

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An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"

A pytorch implementation of paper "Motion Flow Matching for Human Motion Synthesis and Editing"

An official pytorch implementation of EACL2024 short paper "Flow Matching for Conditional Text Generation in a Few Sampling Steps"

Code repository for "Self Adversarial Training for Human Pose Estimation"

An official implementation of CVPR 2023 "Self-Guided Diffusion Models"

Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement

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Deep Research

A pytorch implementation of "Guided Diffusion from Self-Supervised Diffusion Features"

some reproducible examples on pytorch

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Compute FID scores with PyTorch.

ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

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VideoMamba: State Space Model for Efficient Video Understanding

basic algorithm about bayesian thought.

Neural Network Toolbox on TensorFlow

https://ivi.fnwi.uva.nl/vislab/

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Diffusion model papers, survey, and taxonomy

[IJCAI'23] The official Github page of the paper "Diffusion Models for Non-autoregressive Text Generation: A Survey".

Karras et al. (2022) diffusion models for PyTorch

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Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

A beautiful, simple, clean, and responsive Jekyll theme for academics

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Auto-updating paper tracker for flow matching research (10+ citations)

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Personal tmux and zsh configuration dotfiles

Lab website

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Agent skills focused on options trading and derivatives — Black-Scholes, Greeks, multi-leg strategies, implied volatility, risk management. Structure inspired by himself65/finance-skills.

An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

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Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

NVIDIA FastGen: Fast Generation from Diffusion Models

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"E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training" official implementation.

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[ICML 2025] Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments

[KDD 2026] Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

Model Predictive Task Sampling

Docker image with Python and OpenCV 3.0

AI-powered Binance futures trading bot with DeepSeek/Qwen, featuring multi-AI competition, Sharpe ratio self-evolution, and real-time dashboard

Model interpretability and understanding for PyTorch

ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment

Notes on basic einsum notation

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Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

A curated list for awesome discrete diffusion models resources.

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

collection of diffusion model papers categorized by their subareas

code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

🔥🔥🔥A curated list of papers on recent diffusion-based high-resolution image and video synthesis works.

Transformer implementation for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

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[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

A paper list of recent mamba efforts for low-level vision.

Collection of papers on state-space models

List of papers related to State Space Models (Mamba) in Vision.

A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.

[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Fast Diffusion Models with Transformers

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Fine-Grained Subject-Specific Attribute Expression Control in T2I Models

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The official implementation of "ZigMa: A DiT-Style Mamba-based Diffusion Model

VMamba: Visual State Space Models，code is based on mamba

A curated list of recent monocular depth estimation papers

Python implementation of SVRG-BB and SGD-BB algorithms

An implementation of local windowed attention for language modeling

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Awesome list of papers that extend Mamba to various applications.

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

Awesome Papers related to Mamba.

Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "DiffusionInNlp_PaperList".

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Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

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HumanML3D: A large and diverse 3d human motion-language dataset.

The official codebase for Difformer: Empowering Diffusion Models on the Embedding Space for Text Generation

Let us control diffusion models!

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CVPR 2023 论文和开源项目合集

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A collection of resources and papers on Diffusion Models

AcadHomepage: A Modern and Responsive Academic Personal Homepage

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Few Shot Semantic Segmentation Papers

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LSUN Dataset Documentation and Demo Code

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Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation

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pytorch implementation of openpose including Hand and Body Pose Estimation.

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Framework for Easily Invertible Architectures

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PyTorch implementation of normalizing flow models

Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Official PyTorch implementation of StyleGAN3

[NeurIPS'21] Projected GANs Converge Faster

PyTorch implementations of normalizing flow and its variants.

A PyTorch Implementation of Density Estimation Using Real NVP

SILCO: Show a Few Images, Localize the Common Object(ICCV2019)

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Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A style based GAN with MSG training method

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

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Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification

90%+ with 40 labels. please see the readme for details.

🌐 Protocol site

🦄 An open source interface for the Uniswap protocol

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End-to-End Object Detection with Transformers

:octocat: Hello there! This repository is for the welcome message on my Github Profile.

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Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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Visualize 3DPeople Dataset

Implementation of the reversible residual network in pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)

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Implementation of Glow in PyTorch

Implementation of Real NVP in PyTorch

基于Python的开源量化交易平台开发框架

Data preparation and loader for AMASS

SMPL body model layer for PyTorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

Learning from Synthetic Humans, CVPR 2017

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

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:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

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A list of papers and datasets about point cloud analysis (processing)

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

Activity Recognition Algorithms for the Charades Dataset

A repositsory of common methods, datasets, and tasks for video research

Metrics for measuring our multilabel model

Object detection, 3D detection, and pose estimation using center point detection:

Most popular metrics used to evaluate object detection algorithms

A digital currency quantitative trading tool

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Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.