sachinruk

sachinruk's Stars

• yenchenlin/DeepLearningFlappyBird

  Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

  Language:Python6.7k2k

• sachinruk/language_translation

  Language:HTML31

• keras-team/keras-contrib

  Keras community contributions

  Language:Python1.6k652

• salesforce/WikiSQL

  A large annotated semantic parsing corpus for developing natural language interfaces.

  Language:HTML1.7k326

• soumith/convnet-benchmarks

  Easy benchmarking of all publicly accessible implementations of convnets

  Language:Python2.7k577

• awjuliani/DeepRL-Agents

  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

  Language:Jupyter Notebook2.2k825

• sachinruk/doc2vec_tf

  Doc2Vec implementation in tensorflow.

  Language:Jupyter Notebook5224

• igraph/igraph

  Library for the analysis of networks

  Language:C1.8k408

• SheffieldML/GPy

  Gaussian processes framework in python

  Language:Python2.1k566

• sachinruk/KerasQuantileModel

  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.

  Language:Jupyter Notebook7637

• dmlc/mxnet-model-gallery

  Pre-trained Models of DMLC Project

  26673

• holoviz/holoviews

  With Holoviews, your data visualizes itself.

  Language:Python2.7k404

• sklearn-theano/sklearn-theano

  Scikit-learn compatible tools using theano

  Language:Python36378

• rasbt/deep-learning-book

  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

  Language:Jupyter Notebook2.8k750

• sachinruk/Dockerfiles

  A place where I build Dockerfiles used in other projects. Built in CircleCI.

  Language:Dockerfile1911

• sachinruk/deepschool.io

  Deep Learning tutorials in jupyter notebooks.

  Language:Jupyter Notebook1.8k512

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python44.3k18.1k

• PipelineAI/pipeline

  PipelineAI

  Language:Jsonnet4.2k973

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k3.6k

• Kaixhin/dockerfiles

  Compilation of Dockerfiles with automated builds enabled on the Docker Registry

  Language:Dockerfile504126

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k757

• Theano/Theano

  Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

  Language:Python9.9k2.5k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.4k19.5k

• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

  Language:Python8.8k2k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k4.5k

• ermaker/dockerfile-keras-jupyter

  Language:Dockerfile209

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k905

• yahoo/TensorFlowOnSpark

  TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

  Language:Python3.9k941

• mikepqr/spark-edx

  Solutions for the Berkeley Spark EdX courses CS100.1x and CS190.1x.

  92

• scikit-learn-contrib/hdbscan

  A high performance implementation of HDBSCAN clustering.

  Language:Jupyter Notebook2.8k508