Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Distributed Asynchronous Hyperparameter Optimization in Python

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Easy Panoptic Segmentation implement in mmdet

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Introduction to Parallel Programming class code

pure tensorflow Implement of YOLOv3 with support to train your own dataset

Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

This repository combines the MASK_RCNN algorithm for instance segmentation and DeepLabV2 Algorithm for semantic segmentation in order to produce predictions for the Panoptic Segmentation Challenge.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Quick attempt at a panoptic segmentation model

Most popular metrics used to evaluate object detection algorithms

COCO 2018 Panoptic Segmentation Task API (Beta version)

Make Darknet to support numpy array as input

Simple python wrapper for YOLO.

Python Advanced Differential Evolution

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

Parallel Faster R-CNN implementation with MXNet.

Super-project for modularized Boost

Python sample codes for robotics algorithms.

matplotlib: plotting with Python

Boost.org python module

Reference implementation

Example code from shocksolution.com