Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Python wrapper for TA-Lib (http://ta-lib.org/).

Simple and comprehensive tutorials in TensorFlow

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

The code and datasets for the Tsetlin Machine

A script [js + plotly.js] that guesses your next input no matter how random you try to be

Teaching Materials for Dr. Waleed A. Yousef

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Artificial Neural Networks for Scala

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Insanely fast computer vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

A machine learning program that is able to recognize patterns inside Forex or stock data

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README

Thot toolkit for statistical machine translation

CROHME dataset extractor for OFFLINE-text-recognition task.

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Online feature-extraction and classification algorithm that learns representations of input patterns.

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

A CUDA implementation of the Tsetlin Machine based on bitwise operators

A python package for graph kernels.

Tutorial on the Convolutional Tsetlin Machine with Demo

Extended Complexity Library in R