power0341

power0341's Stars

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  341k7.8k34728.2k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k1.9k12.3k19.5k

• aymericdamien/TensorFlow-Examples

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

  Language:Jupyter Notebook43.5k2k23614.9k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.2k933123k

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python16.3k1.1k06.6k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k1.2k193.6k

• kjw0612/awesome-deep-vision

  A curated list of deep learning resources for computer vision

  10.9k1.1k282.8k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.3k5341144.1k

• tflearn/tflearn

  Deep learning library featuring a higher-level API for TensorFlow.

  Language:Python9.6k4569222.4k

• zhangqianhui/AdversarialNetsPapers

  Awesome paper list with code about generative adversarial nets

  6.6k462161.9k

• pkmital/tensorflow_tutorials

  From the basics to slightly more interesting applications of Tensorflow

  Language:Jupyter Notebook5.6k238311.2k

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k7588904

• foolwood/benchmark_results

  Visual Tracking Paper List

  3.9k35001k

• jrjohansson/scientific-python-lectures

  Lectures on scientific computing with python, as IPython notebooks.

  Language:Jupyter Notebook3.5k308251.8k

• amaas/stanford_dl_ex

  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

  2.6k235171.6k

• berkeleydeeprlcourse/homework

  Assignments for CS294-112.

  Language:Python1.6k63141k

• rdpeng/courses

  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

  Language:HTML1.2k51506.1k

• tensorflow/deepmath

  Experiments towards neural network theorem proving

  Language:C++7886517138

• torch/tutorials

  A series of machine learning tutorials for Torch7

  Language:Jupyter Notebook6235546312

• Atcold/torch-Video-Tutorials

  Light your way in Deep Learning with Torch 🔦

  Language:Lua59451297

• deeplearningparis/dl-machine

  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

  Language:Shell295301272

• turi-code/userguide

  User guide for Dato's Machine Learning Platform.

  Language:JavaScript167647110

• clementfarabet/ipam-tutorials

  IPAM Tutorials on Theano/Torch

  Language:Lua130131956

• ddtm/dl-course

  DL Course Materials

  Language:Jupyter Notebook10613149

• fengfu-chris/caffe-twns

  Implementation of Ternary Weight Networks In Caffe

  Language:C++63102123

• deeplearningparis/dl-attention

  Attention models

  Language:Python3412321

• deeplearningparis/dl-tensorflow-ws

  workshop tensorflow

  Language:Python3503

• NaasCraft/tutorialsTensorFlow

  Language:Python1100

• yanweifu/hackermath

  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

  Language:Jupyter Notebook120