ysh329's repositories
awesome-deep-learning-finetune-experience
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
Kaggle-iNaturalist
MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017
caffe_comments
Caffe 源码注释
CaffeOnACL
Using ARM Compute Library (NEON+GPU) to speed up caffe; Providing utilities to debug, profile and tune application performance
CompactCNNCascade
A binary library for fast and robust detection of simple objects using compact CNNs.
conv-benchmark
Evaluating efficiency of several types of convolutions
darknet_mobilenet
mobilenet 与darknet yolo
DeepCompression-caffe
Caffe for Deep Compression
docker-python
Kaggle Python docker image
felixdae.github.io
Words, Thoughts.
flask-app-for-mxnet-img-classifier
A Flask (Python) Web Interface for MXNet Image Classifier
hr101_mxnet
A MXNet tiny face detector
Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
KeyKy.github.io
Build a Jekyll blog in minutes, without touching the command line.
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
piwise
Pixel-wise segmentation on VOC2012 dataset using pytorch.
SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Tkinter-By-Example
Learn Tkinter By Example - a free book
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow