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Postdoc at CASIA
- Beijing
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22:37
(UTC +08:00) - http://opdoop.github.io/
Stars
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
MLEvolve is an open-source autonomous system for end-to-end machine learning algorithm design and optimization powered by progressive search and experience-driven memory.
GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI for OpenAI image generation/editing
ICLR 2025 paper: 3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
Official code for "Self-Distilled Agentic Reinforcement Learning"
A 3B-active-parameter native unified multimodal model for image and video understanding, generation, and editing.
[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
SDE-Harness (Scientific Discovery Evaluation Framework)
Paper list of agent for science
Python and JavaScript bindings for calling the Earth Engine API.
Protein reasoning foundation models for drug discovery.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules
Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation
Official repository of "ODesign: A World Model for Biomolecular Interaction Design"
The agent that grows with you
BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
OpenClaw-RL: Train any agent simply by talking
π¦ Just talk to your agent β it learns and EVOLVES π§¬.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex β developed and maintained with no human intervention.
ε°ε°ε·η离ε«εδΈΊζΈ©ζη SkillοΌζ¬’θΏε ε ₯ζ°εηε½1.0οΌTransforming cold farewells into warm skills? It's giving rebirth era. Welcome to Digital Life 1.0. π«Ά
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TΓCHES.
Single-stage End-to-End Training for Tokenization and Generation
The absolute trainer to light up AI agents.
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution