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48 search results found

Deep Learning Drizzle ⭐ 10,767

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

Easy Tensorflow ⭐ 2,875

Simple and comprehensive tutorials in TensorFlow

Papers Literature Ml Dl Rl Ai ⭐ 1,798

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

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

Teaching ⭐ 802

Teaching Materials for Dr. Waleed A. Yousef

Tsetlinmachine ⭐ 421

Code and datasets for the Tsetlin Machine

Efficient Training of Audio Transformers with Patchout

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

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Iresnet ⭐ 157

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

Prophesee Automotive Dataset Toolbox ⭐ 113

A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee

Graphkit Learn ⭐ 107

A python package for graph kernels, graph edit distances, and graph pre-image problem.

Neuropredict ⭐ 99

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

Hierarchical Graph Analysis

Comparing Trajectory Clustering Methods ⭐ 84

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Forex And Stock Python Pattern Recognizer ⭐ 73

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

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

Crohme_extractor ⭐ 54

CROHME dataset extractor for OFFLINE-text-recognition task.

Fast Tsetlin Machine With Mnist Demo ⭐ 52

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

Kernelmethods ⭐ 42

Foundational library for Kernel methods in pattern analysis and machine learning

Competitive Feature Learning ⭐ 31

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

Real Time Abnormal Events Detection And Tracking In Surveillance System ⭐ 30

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorit

Pyconvsegnet ⭐ 30

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Ecg_classification ⭐ 27

Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022].

Face Recognition ⭐ 20

A GPU-accelerated real-time face recognition system based on classical machine learning algorithms

Ai_booklet_ce Aut ⭐ 20

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Machine Learning library for python

Handwritten Math Expression Recognition ⭐ 17

Segmentation, classification and parsing of handwritten math expressions. Works with inkml format.

Sang-Wook's Development and Testing (SWDT)

Pygrinder ⭐ 14

PyGrinder grinds data beans into the incomplete by introducing missing values with different missing patterns.

Scikit Cycling ⭐ 13

Tools to analyze cycling data

Awesome Papers In The Fileds Of Cv Ml Pr Dm ⭐ 11

This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern recognition, and data mining (where the notes only represent my personal views). The collection will be continuously updated, so stay tuned. Any suggestions and comments are welcome ([email protected]).

Sang-Wook's Library (SWL)

(Multiblock) Partial Least Squares Regression for Python

Hello World Tensorspace ⭐ 10

Played with Tensorspace a library for Neural network 3D visualization, building interactive and intuitive models in browsers, supports pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

Sentdex Patternrecog Percentchange ⭐ 8

Sentdex ML for Algo-trading tutorial

Adaptive Template Model ⭐ 8

Adaptive Template Model of Intelligence

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

Multivariate Time Series Early Classification ⭐ 7

Project is based on the paper "Early classification on multivariate time series". Author Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang.

Attenscriptnetpr ⭐ 6

This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'

Gaussian Hmm Tf ⭐ 6

[DEPRECATED] Use https://github.com/kesmarag/ml-hmm in its place

Shot Boundary Detection Using Svm S Aritificial Neural Networks And Knn ⭐ 5

A shot is a continious sequence of frames filmed in one go. The regions of discrepency between two shots is called the shot boundary. Various discriminatory features like the frame variance, mean, L2-norm etc are taken (as a means of representing video frame data) and then various classifiers are used to compare their performances in detecting these shot boundaries.

Datamining ⭐ 5

Course given at the MSc CS @VU

Getting Started With Pattern Recognition ⭐ 5

华中科技大学人工智能与自动化学院模式识别代码

Disease Pattern Miner ⭐ 5

Disease Pattern Miner is a free, open-source mining framework for interactively discovering sequential disease patterns in medical health record datasets.

Machine Learning Notebooks ⭐ 5

Notes on Pattern Recognition and Machine Learning

Dual Coding Agents ⭐ 5

A Dual-Coding Architecture for Intelligent Social Agents.

Lighttwinsvm ⭐ 5

LightTwinSVM Program - Simple and Fast Implementation of Standard TwinSVM Classifier

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