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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Rich is a Python library for rich text and beautiful formatting in the terminal.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
🎨 Diagram as Code for prototyping cloud system architectures
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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…
Code for the paper "Language Models are Unsupervised Multitask Learners"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Turn (almost) any Python command line program into a full GUI application with one line
A Deep Learning based project for colorizing and restoring old images (and video!)
Command-line program to download image galleries and collections from several image hosting sites
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
DALL·E Mini - Generate images from a text prompt
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.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.