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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-weekly-robotics

A list of projects that were or will be featured in Weekly Robotics newsletter

countmein

🐾 People counting and surveillance with IoT devices

creating-custom-gym-environment---my-experiences

crowd-counting

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

crowd-counting-using-tensorflow

Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

csrnet-mx

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes [MXNet & Caffe, UNOFFICIAL IMPLEMENTATION]

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-activity-recognition

A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

extended_kalman_filter

Extended Kalman Filter by C++

extended_kalman_filter_python

Python implementation of an Extended Kalman Filter.

extendedtinyfaces

Detecting and counting small objects - Analysis, review and application to counting

face_recognition

The world's simplest facial recognition api for Python and the command line

fusion-ekf-python

An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ilearnmachinelearning.js

Thanks to this project I could combine my knowledge from two areas: machine learning and web development. The whole application is written in React using TypeScript and Redux, but the engine that drives it is TensorFlow.js - a modern library for training and deploying machine learning models.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

joystick_drivers

ROS drivers for joysticks

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.

kalmanfilter

Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.

mask_rcnn

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

mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

mykeepon