Stars
📚 Freely available programming books
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Models and examples built with TensorFlow
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…
The world's simplest facial recognition api for Python and the command line
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Python Implementation of Reinforcement Learning: An Introduction
StyleGAN - Official TensorFlow Implementation
A little word cloud generator in Python
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Modin: Scale your Pandas workflows by changing a single line of code
Code for the paper Hybrid Spectrogram and Waveform Source Separation
TensorFlow-based neural network library
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..…
Ready-to-run Docker images containing Jupyter applications
A stock trading bot powered by Trump tweets
TensorFlow Neural Machine Translation Tutorial
A curated list of data science blogs
A data augmentations library for audio, image, text, and video.
Minimal and Clean Reinforcement Learning Examples