AutoGluonawslabs/autogluon
AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

PyTorchLightning/pytorch-lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.
A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework.
Reference implementations of ML models written in numpy
Free and open source face recognition with deep neural networks.
А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.