Stars
Google Research
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…
Data and code behind the articles and graphics at FiveThirtyEight
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Image restoration with neural networks but without learning.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Create delightful software with Jupyter Notebooks
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Fast and flexible AutoML with learning guarantees.
Beaker Extensions for Jupyter Notebook
A Haskell kernel for the Jupyter project.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Chess reinforcement learning by AlphaGo Zero methods.
Pytorch0.4.1 codes for InsightFace
Demo of running NNs across different frameworks
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
Koç University deep learning framework.
A dataset of datasets for learning to learn from few examples
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
A repository with IPython notebooks of algorithms implemented in Python.
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
The BlazeFace face detector model implemented in PyTorch
Deep Learning Projects that Build Themselves
Single Image Depth Estimation with Feature Pyramid Network
Reinforcement learning with A* and a deep heuristic