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 ;)

A High-Quality Real Time Upscaler for Anime Video

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

PyTorch tutorials.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

NYU Deep Learning Spring 2020

A scikit-learn compatible neural network library that wraps PyTorch

Repo for the Deep Reinforcement Learning Nanodegree program

line drawing colorization using chainer

Language-Agnostic SEntence Representations

Fast and flexible AutoML with learning guarantees.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Bayesian optimization in PyTorch

A high performance implementation of HDBSCAN clustering.

Koç University deep learning framework.

Practical assignments of the Deep|Bayes summer school 2019

Build a bot that speaks like you!

Detects clickbait headlines using deep learning.

Collection of examples and recipes for Plots.jl

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers

Datalab Brown Bag Seminar