HaoWangSir's repositories
FADC
CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
RLAssistant
RLA is a tool for managing your RL experiments automatically
MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
Prometheus
Open source software for autonomous drones.
-machine-learning-notes-1
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
AI-TopPaper
Classic papers for beginners, and impact scope for authors.
DeepRL-1
Modularized Implementation of Deep RL Algorithms in PyTorch
publications-code
Code to reproduce results in peer-reviewed publications
MAPTF_code
Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
quadprog
Quadratic Programming Solver
DeepLearningExamples
Deep Learning Examples
far_planner
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
lnotes_latex
LaTeX Notes
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
AI_Tutorial
精华机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理
paper-simulation
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
coding-interview-university
A complete computer science study plan to become a software engineer.
Data-Science-Notes
数据科学的笔记以及资料搜集
awesome-reinforcement-learning
Learning Resources And Links Of Reinforcement Learning （updating）
Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
NNPhD-github
Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
CAMshift-matlab
CAMshift is used for the target tracking,and we add the kalman filter to make the result more accurate