HaoWangSir's repositories
-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
AI-TopPaper
Classic papers for beginners, and impact scope for authors.
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
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, ... 🧠
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
awesome-reinforcement-learning
Learning Resources And Links Of Reinforcement Learning （updating）
CAMshift-matlab
CAMshift is used for the target tracking,and we add the kalman filter to make the result more accurate
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
DeepLearningExamples
Deep Learning Examples
DeepRL-1
Modularized Implementation of Deep RL Algorithms in PyTorch
FADC
CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation
far_planner
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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.
lnotes_latex
LaTeX Notes
MAPTF_code
Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
NNPhD-github
Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
paper-simulation
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
Prometheus
Open source software for autonomous drones.
publications-code
Code to reproduce results in peer-reviewed publications
quadprog
Quadratic Programming Solver
Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
RLAssistant
RLA is a tool for managing your RL experiments automatically
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
TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥