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A bibliography and survey of the papers surrounding o1
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
Code for "Learning to Model the World with Language." ICML 2024 Oral.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"
Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
Learn RegEx step by step, from zero to advanced.
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
A Survey on Large Language Model-Based Game Agents
[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Official code release of AAAI 2024 paper SayCanPay.
A markup-based typesetting system that is powerful and easy to learn.
Isaac Gym Reinforcement Learning Environments
[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Reinforcement Learning Environments for Omniverse Isaac Gym
An arbitrary face-swapping framework on images and videos with one single trained model!
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
A playbook for systematically maximizing the performance of deep learning models.
Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepa…