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acfn

Attentional Correlation Filter Network for Adaptive Visual Tracking

adnet

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

bit

Bitcoin made easy.

bounding-box-prediction-rl

Bounding box prediction in Object Tracking using Reinforcement Learning

classification_models

Pretrained on ImageNet classification models for Keras

cnn_particle_filter

Object tracking with Particle Filters using activations from a CNN

commons-lang

Mirror of Apache Commons Lang

continuous-convop

The Continuous Convolution Operator Tracker (C-COT).

dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning-for-visual-object-tracking-in-videos

paper implementation for the Machine Learning for Computer Vision lecture

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

eye-fundus-image-segmentation

Segmentation vasculature in retinal image

faceai

一款优秀的人脸、视频、文字：检测、识别的智能AI项目。

fast-rcnn

Fast R-CNN

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

goturn_theano

A Theano-based re-implementation of the network described in "Learning to Track at 100 FPS with Deep Regression Networks" by Held et al. (ECCV 2016)

guidedlabelling

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

hart

Hierarchical Attentive Recurrent Tracking

hlm-pred

Use deep learning (Highway + LSTM + MDN) to predict ball's position in future frames based on image input

image-compression-with-kmeans-clustering

A lossy compression to illustrate an application of K-means clustering algorithm

image_segmentation

texture and color based Image Segmentation using K-Means Clustering

imagecaption

ImageCaption with Advanced LSTM+VGG-16

kcfnb

Python implementation of KCF tracking algorithm with Ahead-of-Time Numba

kcfpy

Python implementation of KCF tracking algorithm

kmeans-based-image-compression

machine_learning_in_action

Important book about the machine learning algorithms, and introduces the application of those who use these algorithms and tools, and how to use them in a real environment. This book and other books, behind the other books are long on machine learning theory knowledge, the book happened to be more discussion on how to use coded machine learning algorithms.

mdnet

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking