Starred repositories
🤗 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.
Visualizer for neural network, deep learning and machine learning models
Best Practices on Recommendation Systems
Models and examples built with TensorFlow
A book-in-progress about the Linux kernel and its insides.
stb single-file public domain libraries for C/C++
Resources for Multiple Object Tracking (MOT)
A list of papers on Generative Adversarial (Neural) Networks
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Simple Online Realtime Tracking with a Deep Association Metric
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
OpenMMLab Detection Toolbox and Benchmark
Simultaneous object detection and tracking using center points.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
End-to-End Object Detection with Transformers
A paper list of object detection using deep learning.
A hodgepodge of JSON and CSV Football/Soccer data
[NeurIPS 2022] 4D Unsupervised Object Discovery
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
CompPhys - a Computational Physics repository
Hands-on lab that applies Sagemaker Distributed Training to image classification task. Written in Korean for Korean customers.
Multi-lingual medical image registration library