lambdaji's repositories
DarwinAccelerator
Google分层实验框架
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ftrl_fm_lr
FM by ftrl
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Field-aware-Factorization-Machine-ps
LR model solved by ftrl and sgd parallel on parameter server(ps-lite). FM、FFM model in the future
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
LeadQualifier
A collection of scripts to use for qualifying sales leads with machine learning
ml_toolkits
little tools
MXNet-Learning-Note
MXNet中文学习笔记
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
tensorflow_template_application
TensorFlow template application for deep learning
ThreadPool
A simple C++11 Thread Pool implementation
voltron
A hacky debugger UI for hackers
warplda
Cache efficient implementation for Latent Dirichlet Allocation
YourBoyfriend
帮你做个男朋友.