Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Models and examples built with TensorFlow
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
A natural language interface for computers
Clone a voice in 5 seconds to generate arbitrary speech in real-time
A collection of design patterns/idioms in Python
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
💫 Industrial-strength Natural Language Processing (NLP) in Python
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
⚡ A Fast, Extensible Progress Bar for Python and CLI
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…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Python sample codes and textbook for robotics algorithms.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Image augmentation for machine learning experiments.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Minimal and clean examples of machine learning algorithms implementations
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Automated Machine Learning with scikit-learn