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ann13

Labs for a course in artificial neural networks.

battery-model-parameter-estimation

The codes are the python implementation of different battery models.

bayesopt

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

boost

Super-project for modularized Boost

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

camera-calibration-and-fundamental-matrix-estimation-with-ransac

Using Matlab (Computer Vision)

chainer-mask-rcnn

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

coco-panoptic

Quick attempt at a panoptic segmentation model

control-of-differential-drive-robots

This project implements a hybrid automata based behavioral control strategy for a differential drive robot.

cs344

Introduction to Parallel Programming class code

darknet-numpy

Make Darknet to support numpy array as input

deep-learning-drizzle

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

dopamine

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

easypsnet

Easy Panoptic Segmentation implement in mmdet

electric-vehicle-optimal-charging

The python codes implement the EV charging problem as static and dynamic optimization problem. The optimizers try to maximize the revenue and minimize the cost of the EV charging plant.

emva1288

Reference implementation

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

image-adaptive-yolo

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

kalman-and-bayesian-filters-in-python

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 filters, and more. All exercises include solutions.

live-ml

A python repository with easy to use machine learning tools for computer vision applicaitons

mask_rcnn

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

matplotlib

matplotlib: plotting with Python

mnist-classification

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

napoleon

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms

panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

panopticsegmentation

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.

phase-unwrap

pl4nn

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.