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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

3d-point-cloud-generation

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (AAAI 2018)

advbox

Python toolbox to create adversarial examples that fool neural networks in Paddle, TensorFlow, Caffe2, … AI安全工具箱

airlab

Image registration laboratory for 2D and 3D image data

albumentations

fast image augmentation library and easy to use wrapper around other libraries

algorithm

一些经典的算法代码

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

apollo

An open autonomous driving platform

awesome-code

Links to a curated list of awesome implementations of models.

awesome-distributed-deep-learning

A curated list of awesome Distributed Deep Learning resources.

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-hci-dl

A curated list of awesome HCI + DL

awesome-image-registration

image registration related books, papers, videos, and toolboxes

awesome-mlss

List of summer schools in machine learning + related fields across the globe

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bokeh

Interactive Web Plotting for Python

coding-interview-university

A complete computer science study plan to become a software engineer.

cpython

The Python programming language

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deep_learning_nlp

Keras Implementations of Deep Learning Architectures for NLP

deepaa

make ASCII Art by Deep Learning

deepbayes-2018

Seminars DeepBayes Summer School 2018

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningframeworks

Demo of running NNs across different frameworks

deoldify

A Deep Learning based project for colorizing and restoring old images

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dnc

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy