YangMindiDeMajia's repositories
AudioUtil
音频编辑处理，录制、解码、转换、拼接、提取、合成
awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
csiread
A fast channel state information parser for Intel, Atheros, Nexmon, ESP32 and PicoScenes
EasyReinforcementLearning
EasyRL: An easy-to-use and comprehensive reinforcement learning package.
EasyRL
easy with code
Econ5121A
Econ5121A@CUHK. This is an open-source writing project.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
LearningNoteForYMD
Learning Probability via GPT4
mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
nexmon_csi
Channel State Information Extraction on Various Broadcom Wi-Fi Chips
Parkinson_Disease_ML
A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
POR
Author's implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
pyEEG
Library for processing and analyizing EEG data, using tools and methods developped at ReichenbachLab
Python3WebSpider
Source File of My Book related to WebSpider
python_wifi_csi_extractor
WiFi channel state information for Atheros and Intel devices
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
stock
stock，股票系统。使用python进行开发。
time-series-autoencoder
:chart_with_upwards_trend: PyTorch dual-attention LSTM-autoencoder for multivariate Time Series :chart_with_upwards_trend:
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch