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how-to-write-makefile

跟我一起写Makefile重制版

imgaug

Image augmentation for machine learning experiments.

keras

Deep Learning for humans

keras-bda

A Bayesian Data Augmentation Approach for Learning Deep Models in Keras

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelmeannotationtool

Source code for the LabelMe annotation tool.

leetcode

Min Stack

libfacedetection

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

machine-learning

Machine Learning Algorithms

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

machinelearning

Algorithms about Machine Learning

nvidia-digits

Win7下NVIDIA Digits安装配置

nvidia-driver-cuda8.0-installation-guide-for-ubuntu14.04

NVIDIA CUDA8.0 Installation Guide for Linux官方文档

onnxtocaffe

pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.

opencv_contrib

Repository for OpenCV's extra modules

opendl

Use caffe to train your own data

openface

Face recognition with deep neural networks.

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

person_search

Joint Detection and Identification Feature Learning for Person Search

picasso

:art: A CNN visualizer

pix2pix

Image-to-image translation using conditional adversarial nets

posest

The 6DoF pose solver given a set of 2D-3D point correspondences.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pybind11

Seamless operability between C++11 and Python

pyranet

Code for "Learning Feature Pyramids for Human Pose Estimation" (ICCV 2017)

random-erasing

Random Erasing Data Augmentation

seetafaceengine

siamfc-tensorflow

A TensorFlow implementation of the SiamFC tracker

surprise

A Python scikit for building and analyzing recommender systems

tanda

Learning to Compose Domain-Specific Transformations for Data Augmentation