mhfu0

Python

All Algorithms implemented in Python

keras

Deep Learning for humans

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18个章节，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

pix2pix

Image-to-image translation with conditional adversarial nets

tsfresh

Automatic extraction of relevant features from time series:

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

github-issue-templates

🔣 A collection of GitHub issue, pull request and security templates

code2flow

Pretty good call graphs for dynamic languages

pytorch-forecasting

Time series forecasting with PyTorch

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

keras-attention

Keras Attention Layer (Luong and Bahdanau scores).

recsim

A Configurable Recommender Systems Simulation Platform

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

FEDOT

Automated modeling and machine learning framework FEDOT

gensen-font

A free font family derived from Source Han Sans.

nmt-keras

Neural Machine Translation with Keras

Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

experiments_with_python

experiments with python

scalecast

The practitioner's forecasting library

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

small_parallel_enja

50k English-Japanese Parallel Corpus for Machine Translation Benchmark.

jsut-label

context labels and pronunciation data for JSUT corpus

notes

real-persona-chat

RealPersonaChat: A Realistic Persona Chat Corpus with Interlocutors' Own Personalities

jmultiwoz

JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset

ADLxMLDS2017

Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU

CompVec

Improving Word Embedding Compositionality using Lexicographic Definitions. Implementation using Python and Tensorflow. Was presented at WWW '18 in Lyon, France.

clip-prefix-caption-jp

Japanese port of "ClipCap: CLIP Prefix for Image Captioning"