Code related to the brainwide map paper

Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.

SkyRL: A Modular Full-stack RL Library for LLMs

[AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

A Unified Framework for High-Performance and Extensible LLM Steering

Official code for "Kairos: Towards Adaptive and Generalizable Time Series Foundation Models"

Awesome List for Agentic RL

This repository hosts an open seizure detection benchmarking platform.

The absolute trainer to light up AI agents.

Official implementation of X-Master, a general-purpose tool-augmented reasoning agent.

This is the repository for the Tool Learning survey.

TradingAgents: Multi-Agents LLM Financial Trading Framework

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Awesome Unified Multimodal Models

Stanford NLP Python library for benchmarking the utility of LLM interpretability methods

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

code based for rectified flow

Prompt Orchestration Markup Language

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…

[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models

Verification of Google DeepMind's AlphaEvolve 48-multiplication matrix algorithm, a breakthrough in matrix multiplication after 56 years.

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

A library for mechanistic interpretability of GPT-style language models

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"