snazz2001 Goto Github PK

deep_learning_and_the_game_of_go

Code and other material for the book "Deep Learning and the Game of Go"

deep_q_rl

Theano-based implementation of Deep Q-learning

deeplearning

Python for Deep Learning，《深度学习》数学推导、原理与代码实现

deeplearning-gdansk2019-tutorial

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deeplearningflappybird

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

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.

deeppy

Deep learning in Python

deviumweb

diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

digit-classifier

A simple single handwritten digit classifier, using the MNIST dataset. Implemented through Artificial Neural Networks in python.

distributedlog

A high performance replicated log service.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

diy-nerd---data-science-resources

Resources for people to learn data science DIY

django-nvd3

Django wrapper for nvd3 - It's time for beautiful charts

dl-machine

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

dl-setup

Instructions for setting up the software on your deep learning machine

dora

tools for exploratory data analysis in python

drake

Data workflow tool, like a "Make for data"

draw

Reimplementation of DRAW

draw-1

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

duke

Duke is a fast and flexible deduplication engine written in Java

dull

A light-weight web framework for R

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

eesen

End-to-End Speech Recognition using Deep RNNs (Models), CTC (Training) and WFSTs (Decoding)

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

elements-of-python-style

Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

elephas

Deep learning on Spark with Keras

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"