MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.

[CVPR26] LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & V…

Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —

[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

A high-throughput and memory-efficient inference and serving engine for LLMs

[REALM25 @ ACL25] - "StateAct" Official Paper Repo (SOTA LLM Agent)

A benchmark for evaluating learning agents based on just language feedback

NVIDIA Linux open GPU kernel module source

Official PyTorch implementation for "Large Language Diffusion Models"

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

[ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.

Hopfield Networks is All You Need

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

Author's PyTorch implementation of BCQ for continuous and discrete actions

A library for generative social simulation

Implementation of TWOSOME

official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry