artificial-intelligence-algorithms
There are 55 repositories under artificial-intelligence-algorithms topic.
TheAlgorithms / C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Language:C++ 29068kmario23 / deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
artificial-intelligence-algorithmsartificial-neural-networksbayesian-statisticscomputer-visiondeep-learningdeep-neural-networksdeep-reinforcement-learningexplainable-aigeometric-deep-learninggraph-neural-networksmachine-learningmedical-imagingnatural-language-processingoptimizationpattern-recognitionprobabilistic-graphical-modelsprobabilityreinforcement-learningspeech-recognitionvisual-recognitionLanguage:HTML 11755- AI_Tutorial
cbamls / AI_Tutorial
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
GANs-in-Action / gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Language:Jupyter Notebook 996- LiuAlgoTrader
amor71 / LiuAlgoTrader
Framework for algorithmic trading
Language:Python 668 yaoguangluo / Deta_Parser
快速中文分词分析word segmentation
Language:Java 480- Best-Data-Science-Resources
Mohitkr95 / Best-Data-Science-Resources
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
Language:Jupyter Notebook 464 - Language:Swift 458
Cledersonbc / tic-tac-toe-minimax
Minimax is a AI algorithm.
Language:Python 403PyPatel / Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
- Language:Jupyter Notebook 289
pushkar / ABAGAIL
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Language:Java 245LMD0311 / Awesome-World-Model
Collect some World Models for Autonomous Driving papers.
- pymilo
openscilab / pymilo
PyMilo: Python for ML I/O
Language:Python 122 kyegomez / Andromeda
An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast
Language:Python 121- ai-seedLanguage:Jupyter Notebook 114
- AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
weblineindia / AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction
This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
mxnetmxnet-imageclassificationfacial-recognitionfacial-expression-recognitionface-recognitionage-recognitiongender-classificationgender-recognitionemotion-detectionemotion-recognitiongender-predictionfacenetfacenet-trained-modelsartificial-intelligence-algorithmsmachine-learning-algorithmsaimlartificial-intelligencemachine-learningfacial-attributesfacial-features-extractionLanguage:Python 103 realkushagrakhare / 3D_Path_Planning
AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file
artificial-intelligenceartificial-intelligence-algorithmspath-planning3d-pathfindingconstraint-satisfaction-problem3d-path-planningplanning-algorithmssatisfactionconstraintsmotionreeds-shepp-plannerdubins-rrtdubinscollision-detectionrrtrrt-starrapidly-exploring-random-treespline-interpolationspline-fitnode-pruneLanguage:Python 100- Age-and-Sex-Prediction-from-Image---Convolutional-Neural-Network-with-Artificial-Intelligence
emirhanai / Age-and-Sex-Prediction-from-Image---Convolutional-Neural-Network-with-Artificial-Intelligence
Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence
Language:Jupyter Notebook 67 CarsonScott / HSOM
Hierarchical self-organizing maps for unsupervised pattern recognition
neural-networkself-organizing-mapself-organizationunsupervised-learningclassificationmulticlass-classificationclassifierclassifier-trainingartificialartificial-intelligenceartificial-neural-networkmachine-learningmachine-learning-algorithmsartificial-intelligence-algorithmsaimldeep-learningdeep-neural-networksunsupervised-machine-learningunsupervised-clusteringLanguage:Python 58- mobagen
InfiniBrains / mobagen
MoBaGEn - Module Based Game Engine - Educational tool to teach game programming concepts
Language:C++ 58 - Cryptocurrency-Prediction-with-Artificial-Intelligence-V3.0-GRU-Neural-Network
Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
Language:Jupyter Notebook 49 pokerwars / pokerwars.io-starterbot-python
A starter bot written in python for the pokerwars.io platform. To play: pull this code, register on pokerwars.io, get your API token and play!
Language:Python 44shukur-alom / leaf-diseases-detect
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
Language:Jupyter Notebook 44- PyDiffGame
krichelj / PyDiffGame
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
control-theoryriccati-equationdifferential-gamequadrotormulti-objective-optimizationmatrix-equationsdifferential-equationsgame-theorybellman-equationhamiltonianpontryagin-maximum-principlehamilton-jacobi-bellmandynamical-systemsnash-equilibriumartificial-intelligence-algorithmsnumerical-methodsinverted-pendulumoptimization-algorithmsobject-oriented-programmingcomputer-scienceLanguage:Python 39 starkblaze01 / Artificial-Intelligence-Codes
Collection of Artificial Intelligence Algorithms implemented on various problems
artificial-intelligence-algorithmsdecision-tree-classifieradaptive-smoothinghidden-markov-modelhopfield-networkjealous-husbandk-satk-means-clusteringgaussian-mixture-modelsmenacereinforcement-learningtravelling-salesman-problemgenetic-algorithmepsilon-greedyhierarchical-clusteringconfidence-intervalsLanguage:Jupyter Notebook 39Estimated annual CO2 emissions from diesel generators at mobile or cell towers
Language:Python 36alex-rantos / Project-1-Search-in-Pacman
Search algorithms(BFS, DFS, UCS, A*) in python.Berkeley Pacman Project 1.
Language:Python 35- internShowcase
ai-techsystems / internShowcase
Open Source Social Projects from AITS associates with 💝
Language:Jupyter Notebook 32 IBM / predict-fraud-using-auto-ai
Use AutoAI to detect fraud
Language:Jupyter Notebook 32- all-classifiers-2019
AMLResearchProject / all-classifiers-2019
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Language:Jupyter Notebook 30 salmansust / Machine-Learning-TSF-Petroleum-Production
Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availability of extensive amounts of historical data along with the need of performing accurate production forecasting, particularly a powerful forecasting technique infers the stochastic dependency between past and future values is highly needed. In this research, we applied machine learning approach capable to address the limitations of traditional forecasting approaches and show accurate predictions and showed comparison of different machine learning models. For evaluation purpose, a case study from the petroleum industry domain is carried out using the production data of an actual gas field of Bangladesh. Toward a fair evaluation, the performance of the models were evaluated by measuring the goodness of fit through the coefficient of determination (R2 ) and Root Mean Square Error (RMSE), Mean Squared Error (MSE) , Mean Absolute Error(MAE) and model Accuracy
Language:Python 29AbhyudayaSharma / tic-tac-toe
A Tic-Tac-Toe Game with an unbeatable AI
Language:Java 28andreacasalino / Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
Language:C++ 28A starter bot written in Java for the pokerwars.io platform. To play: pull this code, register on pokerwars.io, get your API token and play!
Language:Java 27jankozik / C-Plus-Plus-forML
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Language:C++ 26
