Stars
😎 Awesome lists about all kinds of interesting topics
An opinionated list of Python frameworks, libraries, tools, and resources.
All Algorithms implemented in Python
An Open Source Machine Learning Framework for Everyone
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A collection of design patterns/idioms in Python
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Companion webpage to the book "Mathematics For Machine Learning"
Image augmentation for machine learning experiments.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
The leading native Python SSHv2 protocol library.
Keras implementations of Generative Adversarial Networks.
Short Python code snippets for all your development needs
Official Python client library for kubernetes
A Keras implementation of YOLOv3 (Tensorflow backend)
Official source of container configurations, images, and examples for Oracle products and projects
Google Cloud Client Libraries for Python
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A collection of infrastructure and tools for research in neural network interpretability.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Import arbitrary code from Stack Overflow as Python modules.
docker compose files to create a fully working kafka stack
A library for debugging/inspecting machine learning classifiers and explaining their predictions