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adversarial-frcnn

A-Fast-RCNN (CVPR 2017)

algorithms

Minimal examples of data structures and algorithms in Python

algorithmvisualizer

Algorithm Visualizer

artificialintelligence

人工智能经典算法Python实现

automatic_speech_recognition

End-to-end automatic speech recognition from scratch in Tensorflow

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-caffe

Awesome Caffe

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision Project Ideas

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-rl

Reinforcement learning resources curated

bbox-label-tool

A simple tool for labeling object bounding boxes in images

benchmark_results

visual tracker benchmark results

britishmuseumfacesdetection

A python example for using OpenCV to identify faces within @britishmuseum images.

caffe-deep-metric-learning-cvpr16

Caffe extension submodule for Deep Metric Learning via Lifted Structured Feature Embedding

caffe-ocr

OCR with caffe deep learning framework -> Migrated to tensorflow

caffe-sl

caffe for Similarity Learning

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe_manual

Caffe使用教程

car-detection

Computer vision techniques for car detection in Python

cnn_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

collction

Gathering useful resources

crash-course-computer-science-chinese

:fire: 完结：计算机科学速成课 | Crash Course Computer Science （1c7 是翻译人员之一）

creat_frcnn_dataset

cs231n.github.io

Public facing notes page

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-learning-object-detection-links.

Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.