Stars
Models and examples built with TensorFlow
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🐍 Geometric Computer Vision Library for Spatial AI
Refine high-quality datasets and visual AI models
TensorFlow-based neural network library
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A Python implementation of global optimization with gaussian processes.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Automated Machine Learning with scikit-learn
A faster pytorch implementation of faster r-cnn
Efficiently computes derivatives of NumPy code.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Simple Online Realtime Tracking with a Deep Association Metric
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Sequence modeling benchmarks and temporal convolutional networks
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Simple, online, and realtime tracking of multiple objects in a video sequence.
LPIPS metric. pip install lpips
Scenic: A Jax Library for Computer Vision Research and Beyond
Tensorflow Faster RCNN for Object Detection
Modularized Implementation of Deep RL Algorithms in PyTorch
MOT using deepsort and yolov3 with pytorch
Collection of reinforcement learning algorithms
A TensorFlow implementation of the Differentiable Neural Computer.
Simultaneous object detection and tracking using center points.