greeness

greeness's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k7.5k40.1k74.4k

• github/gitignore

  A collection of useful .gitignore templates

  164k3.4k083.1k

• scrapy/scrapy

  Scrapy, a fast high-level web crawling & scraping framework for Python.

  Language:Python53.7k1.8k3.1k10.6k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.5k2k23614.9k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.2k2.1k4.8k18.7k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook27.1k1.4k2457.9k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML26k8461.1k4.7k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k2626351.8k

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k5331792.6k

• karpathy/convnetjs

  Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

  Language:JavaScript10.9k595762k

• nathanmarz/storm

  Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

  Language:Java8.8k1k01.7k

• rasmusbergpalm/DeepLearnToolbox

  Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

  Language:Matlab3.8k4671382.3k

• cemoody/lda2vec

  Language:Python3.2k11981627

• Farama-Foundation/Arcade-Learning-Environment

  The Arcade Learning Environment (ALE) -- a platform for AI research.

  Language:C++2.2k80257432

• kuz/DeepMind-Atari-Deep-Q-Learner

  The original code from the DeepMind article + my tweaks

  Language:Lua1.8k15334532

• ogrisel/parallel_ml_tutorial

  Tutorial on scikit-learn and IPython for parallel machine learning

  Language:Jupyter Notebook1.6k1834599

• srendle/libfm

  Library for factorization machines

  Language:C++1.5k7235414

• zhangxiangxiao/Crepe

  Character-level Convolutional Networks for Text Classification

  Language:Lua8496728222

• klb3713/sentence2vec

  Tools for mapping a sentence with arbitrary length to vector space

  Language:Python6635815222

• kristjankorjus/Replicating-DeepMind

  Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

  Language:C++65515222207

• torch/tutorials

  A series of machine learning tutorials for Torch7

  Language:Jupyter Notebook6235546312

• JonathanRaiman/PVDM

  :books: Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

  Language:Python24517579

• karthikncode/DeepRL-InformationExtraction

  Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954

  Language:Roff23222474

• hgourvest/glpk.js

  GNU Linear Programming Kit for Javascript

  Language:JavaScript14716623

• tuzzeg/detect_insults

  441019

• ttsiodras/UnblockMeSolver

  An auto-solver I coded for the "Unblock Me" puzzle game

  Language:C++285121

• AppStat/MultiBoost

  The MultiBoost package is a multi-class / multi-label / multi-task classification boosting software implemented in C++.

  Language:C++2712015

• jamartinb/pyema

  Python implementation of EMA, an online multi-class classifier specially suitable for non-stationary problems

  Language:Python6101

• greeness/pgm-reading

  sample/demo codes when reading Koller's PGM book

  120

• greeness/pymc-examples

  PyMC Example Notebooks

  Language:Python120