chuan wang's repositories
keras
Deep Learning for humans
Compute-Features
Computes features for images using various pretrained Tensorflow models
face_recognition
The world's simplest facial recognition api for Python and the command line
ML-AndrewNg-Notes
Coursera吴恩达机器学习课程笔记及资源整理
Hunter
关于职位/面试/谈Offer/程序员职场生涯等
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
yolo-tiny-v1-mobile
Yolo for Android and iOS - Mobile Deep Learning Object Detection in Realtime
CondenseNet
CondenseNet: Light weighted CNN for mobile devices
cifar-10-cnn
Using cifar-10 datasets to learn deep learning.
Predictive-Analytics-with-TensorFlow
Predictive Analytics with TensorFlow, published by Packt
giphy-python-client
The GIPHY Core SDK is a wrapper around the GIPHY API
n2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs faster even with large datasets
Keras-NASNet
An implementation of "NASNet" models in Keras 2.0+
pytudes
Python programs to practice or demonstrate skills.
Keras-Classification-Models
Collection of Keras models used for classification
welcome_tutorials
Various tutorials given for welcoming new students at MILA.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
basic-yolo-keras
Implementation of YOLO version 2 in Keras
CapsNet-Keras
A Keras implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules. Now Val_acc>99.5%.
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
magenta
Magenta: Music and Art Generation with Machine Intelligence
keras-oneshot
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
YAD2K
YAD2K: Yet Another Darknet 2 Keras
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
tech-interview-handbook
💯 Algorithms, front end and behavioral content for rocking your coding interview 🆕 Interview Cheatsheet! 🆕
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series