hulalazz Goto Github PK

diracnets

Training Very Deep Neural Networks Without Skip-Connections

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

distributed-sgd

Parallel SGD, done locally and remote

dl

dl-to-rank

Learning to Rank with Deep Neural Networks

dl4nlp

Deep Learning for NLP resources

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dlcv2018spring

Deep Learning for Computer Vision (CommE 5052) in NTU

dll

Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

dltk

Deep Learning Toolkit for Medical Image Analysis

dlwithtf

TensorFlow for Deep Learning Book

dlwithtf-1

Labs for the cognitiveclass.ai course Deep Learning with TensorFlow

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

dndt

Deep Neural Decision Trees

dogs_vs_cats

猫狗大战

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

downhill

Stochastic gradient routines for Theano

download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ds100-textbook-zh

:book: [译] UCB DS100 数据科学的原理与技巧

ds3_abi_exercises

Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018

dsd

DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

dsoml

SAGA SVRG MISO incremental gradients

duke-tsinghua-mlss-2017

Duke-Tsinghua Machine Learning Summer School 2017

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

e-books

IT technical related e-books and PPT information, continuous updating. For those in need, Keep real, peace and love.

ebooks

我的大数据学习书单

ece901