Stars
Program for determining types of files for Windows, Linux and MacOS.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Visualizer for neural network, deep learning and machine learning models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Volatility plugin for extracts configuration data of known malware
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.
A crash course in six episodes for software developers who want to become machine learning practitioners.
Learn and understand Docker technologies, with real DevOps practice!
Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
Elastic Malware Benchmark for Empowering Researchers
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Plain python implementations of basic machine learning algorithms
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep learning algorithms source code for beginners
Sarasra / models
Forked from tensorflow/modelsModels and examples built with TensorFlow
Repo for the Deep Learning Nanodegree Foundations program.
Content for Udacity's Machine Learning curriculum
Google Cloud Client Library for Python
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
My blog for collecting dots of daily life.
machine learning and deep learning tutorials, articles and other resources
A curated list of awesome Deep Learning tutorials, projects and communities.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…