1340 Open source projects that are alternatives of or similar to awesome-computer-vision-models

Matlab code of machine learning algorithms in book PRML

Reinforcement learning with A* and a deep heuristic

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Implementation of a Partial Least Squares Regressor

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

基于机器学习和OCR的车牌识别系统 @fujunhao

Plant Disease Identification Using Convulutional Neural Network

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

No description or website provided.

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Implementation of the reweighted wake-sleep machine learning algorithm

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

Scala Library/REPL for Machine Learning Research

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

A library that implements fairness-aware machine learning algorithms

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

A repo to explain algorithm in machine learning with CHINESE

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Emerging Technologies Project - 4th Year 2017

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

This repository contains notes and projects of Data scientist track from dataquest course work.

Analysis Pipeline for Single Cell ATAC-seq

This a JavaScript Library for the Numerical Javascript and Machine Learning

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

No description or website provided.

A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

No description or website provided.

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Examples how MLJAR can be used

A day to day plan for this challenge. Covers both theoritical and practical aspects

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

No description or website provided.

Darwin C++ and Python Machine Learning Framework for Cyber Security

Log Anomaly Detection - Machine learning to detect abnormal events logs

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

📚 An open source repository of resources for the Javascript Ecosystem.

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

لیست یوتیوبرهای فارسی‌زبان

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Makine Öğrenmesi Türkçe Kaynak

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

R package to interface with OpenML

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms