📚 Freely available programming books

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Stable Diffusion web UI

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

OpenMMLab Detection Toolbox and Benchmark

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,…

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

An educational resource to help anyone learn deep reinforcement learning.

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..…

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Python3 interview prep cheatsheet and examples

Quantitative Finance book

Hi All! When I created this repository I was hoping to help just 1 person and save them time. I am super happy to receive overwhelming support and appreciate all the nice comments! I will continue …

Paint artistic patterns using random neural network.

Here you will find materials for the course of Computational Finance

algorithm templates and leetcode examples in Python3, you can learn many python tricks too.

The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)

A really more real-time adaptation of deep sort

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Synthesize photos from PhotoDNA using machine learning 🌱

Official PyTorch implementation of the paper IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model.