ebook

ageron/handson-ml2

ageron/handson-ml2

October 13, 2019

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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).
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
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
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
facebookresearch/flashlight

facebookresearch/flashlight

August 23, 2019

A C++ standalone library for machine learning
rlabbe/Kalman-and-Bayesian-Filters-in-Python

rlabbe/Kalman-and-Bayesian-Filters-in-Python

August 23, 2019

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
facebookresearch/nevergrad

facebookresearch/nevergrad

August 22, 2019

A Python toolbox for performing gradient-free optimization
facebookresearch/DeepFocus

facebookresearch/DeepFocus

August 21, 2019

DeepFocus: Learned Image Synthesis for Computational Displays