book

fuergaosi233/gitbook2pdf

fuergaosi233/gitbook2pdf

October 10, 2019

Grab the contents of the gitbook document and convert it to pdf
lmoroney/dlaicourse

lmoroney/dlaicourse

October 9, 2019

Notebooks for learning deep learning
babluboy/bookworm

babluboy/bookworm

October 2, 2019

A simple ebook reader for Elementary OS
deepmind/neural-processes

deepmind/neural-processes

October 2, 2019

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
taki0112/Tensorflow-Cookbook

taki0112/Tensorflow-Cookbook

October 1, 2019

Simple Tensorflow Cookbook for easy-to-use
GoogleCloudPlatform/data-science-on-gcp

GoogleCloudPlatform/data-science-on-gcp

September 26, 2019

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O’Reilly 2017
dh7/ML-Tutorial-Notebooks

dh7/ML-Tutorial-Notebooks

September 25, 2019

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.
facebookresearch/ImageNet-Adversarial-Training

facebookresearch/ImageNet-Adversarial-Training

September 25, 2019

ImageNet classifier with state-of-the-art adversarial robustness
trimstray/nginx-admins-handbook

trimstray/nginx-admins-handbook

September 24, 2019

How to improve NGINX performance, security, and other important things.
facebookresearch/XLM

facebookresearch/XLM

September 23, 2019

PyTorch original implementation of Cross-lingual Language Model Pretraining.
tchambon/LabelMyTextWidget

tchambon/LabelMyTextWidget

September 21, 2019

Jupyter notebook widget to quickly label text data
facebookresearch/many-to-many-dijkstra

facebookresearch/many-to-many-dijkstra

September 19, 2019

A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.
facebookresearch/LASER

facebookresearch/LASER

September 15, 2019

Language-Agnostic SEntence Representations
Olow304/Data-Analysis-Science

Olow304/Data-Analysis-Science

September 15, 2019

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
facebookincubator/spectrum

facebookincubator/spectrum

September 11, 2019

A client-side image transcoding library.
Qiskit/qiskit-iqx-tutorials

Qiskit/qiskit-iqx-tutorials

September 7, 2019

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience
ageron/tf2_course

ageron/tf2_course

September 6, 2019

Notebooks for my “Deep Learning with TensorFlow 2 and Keras” course
facebook/fbt

facebook/fbt

September 3, 2019

A JavaScript Internationalization Framework
jeffgerickson/algorithms

jeffgerickson/algorithms

September 2, 2019

Bug-tracking for Jeff’s algorithms book, notes, etc.
krasserm/bayesian-machine-learning

krasserm/bayesian-machine-learning

September 2, 2019

Notebooks related to Bayesian methods for machine learning
tirthajyoti/Machine-Learning-with-Python

tirthajyoti/Machine-Learning-with-Python

August 25, 2019

Practice and tutorial-style notebooks covering wide variety of machine learning techniques
fastai/fastprogress

fastai/fastprogress

August 24, 2019

Simple and flexible progress bar for Jupyter Notebook and console