Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
The fundamental package for scientific computing with Python.
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…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
DeepFaceLab is the leading software for creating deepfakes.
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
End-to-End Object Detection with Transformers
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Super Resolution for images using deep learning.
Refine high-quality datasets and visual AI models
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A resource for learning about Machine learning & Deep Learning