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Crack LeetCode, not only how, but also why.
A markup-based typesetting system that is powerful and easy to learn.
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
A playbook for systematically maximizing the performance of deep learning models.
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…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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！
An arbitrary face-swapping framework on images and videos with one single trained model!
Learn RegEx step by step, from zero to advanced.
Isaac Gym Reinforcement Learning Environments
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
A bibliography and survey of the papers surrounding o1
Reinforcement Learning Environments for Omniverse Isaac Gym
A Survey on Large Language Model-Based Game Agents
[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"
Code for "Learning to Model the World with Language." ICML 2024 Oral.
[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
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…
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
Official code release of AAAI 2024 paper SayCanPay.
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