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.

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

Teaching Materials for Dr. Waleed A. Yousef

The code and datasets for the Tsetlin Machine

Hastic data management server for analyzing patterns and anomalies from Grafana

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

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

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

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Hastic data management server for labeling patterns and anomalies in Grafana

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

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.

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

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

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

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

CROHME dataset extractor for OFFLINE-text-recognition task.

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

Thot toolkit for statistical machine translation

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Hierarchical Graph Analysis

A python package for graph kernels.

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

Pytorch Implementation of Semantic-Aware Scene Recognition Paper