wanghf's repositories
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
Bayesian-Compression-for-Deep-Learning
Remplementation of paper https://arxiv.org/abs/1705.08665
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
breakthrough
UC Berkeley's software and documentation for Breakthrough Listen data
burst_search
Program to perform real-time and off-line searches for fast radio bursts in GBT GUPPI data.
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Data-Science-Notes
数据科学的笔记以及资料搜集
deep-compress
Model Compression in Deep Learning
DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
docs
TensorFlow documentation
impl-pruning-TF
Implementation of "Iterative pruning" on TensorFlow
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch)
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
the-gan-zoo
A list of all named GANs!
train_arch
vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....
transferlearning
Resources and codes about transfer learning and domain adaptation--迁移学习
transferlearning-tutorial
《迁移学习简明手册》LaTex源码
Tutorial_BayesianCompressionForDL
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017