TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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 filte…

Natural Language Processing Tutorial for Deep Learning Researchers

The "Python Machine Learning (1st edition)" book code repository and info resource

YSDA course in Natural Language Processing

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A course in reinforcement learning in the wild

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Plain python implementations of basic machine learning algorithms

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Introduction to Deep Neural Networks with Keras and Tensorflow

A collection of IPython notebooks covering various topics.

A python tutorial on bayesian modeling techniques (PyMC3)

Code for Stanford CS224u

A curated list of awesome embedding models tutorials, projects and communities.

Dual LSTM Encoder for Dialog Response Generation

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Experiments with Deep Learning

A deep Q learning demonstration using Google Tensorflow

TensorFlow Tutorial for Time Series Prediction