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The Chinese University of Hong Kong
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(UTC +08:00) - https://shengze-xu.github.io/
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Video+code lecture on building nanoGPT from scratch
Open-source implementation of AlphaEvolve
General technology for enabling AI capabilities w/ LLMs and MLLMs
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
A library for scientific machine learning and physics-informed learning
Official PyTorch implementation for "Large Language Diffusion Models"
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
A framework for prompt tuning using Intent-based Prompt Calibration
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
A repo lists papers related to LLM based agent
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
A lightweight adapter bridges SAM with medical imaging [MedIA]
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
(ACM TOMM) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Tool for data extraction and interacting with Lean programmatically.
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.