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《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。 http://zh.d2l.ai

100-days-of-ml-code

100 Days of MachineLearning Coding

ai-challenger-plant-disease-recognition

AI Challenger -- 农作物病害识别

apriori

Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

awesome-deep-learning-papers

The most cited deep learning papers

caffe

Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

data-science-ipython-notebooks-master

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.

decision_tree

deep-learning

deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

deeplearning

Some practices about deep learning

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningmodels

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recognition

人脸识别的一个实例

facenet

https://github.com/davidsandberg/facenet

facerecognition-tensorflow

基于TensorFlow训练的人脸识别神经网络

fast-wavenet

Speedy Wavenet generation using dynamic programming

fastmaskrcnn

Mask RCNN in TensorFlow

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

hand3d

Network estimating 3D Handpose from single color images

imgaug

Image augmentation for machine learning experiments. http://imgaug.readthedocs.io

kaggle

Codes for Kaggle Competitions

keras-tcn

Keras Temporal Convolutional Network.

keras-yolo3-detection

A Keras implementation of YOLOv3 (Tensorflow backend)

keypoints-of-humanpose-with-mask-r-cnn

Use the Mask RCNN for the human pose estimation

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learn-python

以撸代码的形式学习Python

license_plate_detection_pytorch

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet