Stars
Metric learning and retrieval pipelines, models and zoo.
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Unofficial implementation of Adan optimizer in Tensorflow
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Python GUIs for Humans! Create any GUI simple or complicated in a way that's intuitive. Launched in 2018. NEW for 2026 - the LGPL3 Version 6. Transforms tkinter, Qt, WxPython, and Remi into a simpl…
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
torch-optimizer -- collection of optimizers for Pytorch
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.
Deploy a ML inference service on a budget in less than 10 lines of code.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
CharNet: Convolutional Character Networks
End-to-End Object Detection with Transformers
🤗 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.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Spelling, grammar and style checking on LaTeX documents
An implementation of the Pyramid Pooling Module as a Keras layer.
Lightweight, intuitive and fast data-tables.