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Python Data Science Handbook: full text in Jupyter Notebooks
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
《Python Cookbook》 3rd Edition Translation
My blogs and code for machine learning. http://cnblogs.com/pinard
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
Codes related to activities on AV including articles, hackathons and discussions.
😺 Running Hashcat on Google Colab with session backup and restore.
📔 在学院的书架上发现了一本不带脑子就能读懂的书《Python数据挖掘与实战》
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
A simple Drowsiness Detection module for humans. 😴 🚫 🚗
TinyML Cookbook, published by Packt
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
メディカルAIコース オンライン講義資料
poseidon system - open source syringe pumps and microscope for laboratories
How to Win a Data Science Competition: Learn from Top Kagglers
25 path-tracking algorithms are (goint to be) implemented with python.
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
Adversarial Attacks on Deep Neural Networks for Time Series Classification