Stars
Unified Framework for Multiple Time Series Tasks
Godot Gym API is an Open Source framework for using Godot3 game engine as 3d-environment for training reinforcement learning agents implemented in Python on any data, including images and point clo…
A curated list of radar datasets, detection, tracking and fusion
Lightweight and modular MLOps library targeted at small teams or individuals
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A resource for learning about Machine learning & Deep Learning
A deep learning library for video understanding research.
Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Practice git, Travis CI and Intel OpenVINO
Flops counter for neural networks in pytorch framework
Pre-trained Deep Learning models and demos (high quality and extremely fast)