An opinionated list of awesome Python frameworks, libraries, software and resources.

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

What the f*ck Python? 😱

⚡ A Fast, Extensible Progress Bar for Python and CLI

State-of-the-art 2D and 3D Face Analysis Project

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A code-completion engine for Vim

Python sample codes and textbook for robotics algorithms.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Python logging made (stupidly) simple

Rembg is a tool to remove images background

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

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

A collaboration friendly studio for NeRFs

🍦 Never use print() to debug again.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Common used path planning algorithms with animations.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

A lightweight, object-oriented finite state machine implementation in Python with many extensions

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Simple examples to introduce PyTorch