JiongFu's repositories
sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
coding-interview-university
A complete computer science study plan to become a software engineer.
scikit-image
Image Processing SciKit (Toolbox for SciPy)
Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
protobuf
Protocol Buffers - Google's data interchange format
swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages. Currently tensorflow is using swig to wrap its native functionalities for python api
models
Models and examples built with TensorFlow
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
kaggle-projects
This repository holds all interesting data science projects I am doing or have done
chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
MachineLearning-1
Basic Machine Learning and Deep Learning
jiongfu.github.io
Get access to the website
pytudes
Python programs to practice or demonstrate skills.
The-Art-Of-Programming-By-July
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
MachineLearning
Machine learning resources
deap
Distributed Evolutionary Algorithms in Python
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
neural-style
Torch implementation of neural style algorithm
Distributed-TensorFlow-Guide
Distributed TensorFlow basics and examples of training algorithms
interviews
Everything you need to know to get the job.
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
DPNs
Dual Path Networks
spark
Mirror of Apache Spark