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Stanford University
- Stanford, CA
- https://hanjq17.github.io/
- @jiaqihan99
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Pytorch implementation of MeanFlow on ImageNet and CIFAR10
Benchmarking Chat Assistants on Long-Term Interactive Memory (ICLR 2025)
[ICCV 2025] CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Optimizing inference proxy for LLMs
[NeurIPS 2024] The implementation for the paper "Geometric Trajectory Diffusion Models".
[ICLR 2024] The implementation for the paper "Space Group Constrained Crystal Generation"
Official PyTorch implementation for "Large Language Diffusion Models"
Reproduce ICLR2025 Energy-Based Diffusion Language Models for Text Generation
A framework for few-shot evaluation of language models.
The best OSS video generation models, created by Genmo
Official implementation of FIFO-Diffusion: Generating Infinite Videos from Text without Training (NeurIPS 2024)
Official inference repo for FLUX.1 models
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Code release for our NeurIPS 2024 Spotlight paper "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing"
f-PO: Generalizing Preference Optimization with f-divergence Minimization
The collection of awesome papers on alignment of diffusion models.
[NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
Hackable and optimized Transformers building blocks, supporting a composable construction.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Vector (and Scalar) Quantization, in Pytorch
Documentation on how to access and use the Quick, Draw! Dataset.
Generative Models by Stability AI
A unified framework for 3D content generation.