The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

Variable Selection Network with PyTorch

Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Information gathering framework for phone numbers

Interactive Data Visualization in the browser, from Python

A Python-embedded modeling language for convex optimization problems.

Implementation of first visit Monte Carlo for prediction and control

Pointer Networks Implementation to solve Convex-Hull and TSP problems using supervised and RL training.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Simulated Annealing algorithm to solve Travelling Salesmen Problem in Python

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

pytorch neural combinatorial optimization

Solutions of Reinforcement Learning, An Introduction

Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver

A simple program to simulate artificial life using attraction/reuplsion forces between many particles

Pointer Networks in PyTorch

Implementation of Pointer Networks using PyTorch

Python Basics for Machine Learning - Data Science - Data Analyst

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Books with Jupyter notebooks

Hands-On Graph Neural Networks Using Python, published by Packt

RNN Encoder-Decoder in PyTorch