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Search results for python artificial neural networks

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115 search results found

Imageai ⭐ 8,051

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Aialpha ⭐ 1,702

Use unsupervised and supervised learning to predict stocks

Top Deep Learning ⭐ 1,437

Top 200 deep learning Github repositories sorted by the number of stars.

Continual Learning ⭐ 1,190

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Python Ml Course ⭐ 724

Curso de Introducción a Machine Learning con Python

Tensorslow ⭐ 632

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Trending Deep Learning ⭐ 449

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

First Steps Towards Deep Learning ⭐ 375

This is an open sourced book on deep learning.

Machine Learning Guide ⭐ 366

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Tensorflow Resources ⭐ 327

Curated Tensorflow code resources to help you get started with Deep Learning.

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Echotorch ⭐ 269

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Ecg Classification ⭐ 255

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Ai Talks ⭐ 246

AI Talks - ChatGPT Assistant via Streamlit

Learning to Cluster. A deep clustering strategy.

Data Science Resources ⭐ 200

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Neuromorphic Computing Guide ⭐ 191

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Text2poster Icassp 22 ⭐ 171

Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"

Brain Inspired Replay ⭐ 169

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Machine Learning And Ai In Trading ⭐ 169

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Continual Learning Benchmark ⭐ 158

Evaluate three types of task shifting with popular continual learning algorithms.

Cnn Svm ⭐ 151

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Mariana ⭐ 151

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Implementation of "PaLM-E: An Embodied Multimodal Language Model"

Malware Classification ⭐ 140

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Brainforge ⭐ 111

A Neural Networking library based on NumPy only

Lightnn ⭐ 111

The light deep learning framework for study and for fun. Join us!

Awesome Deep Learning ⭐ 105

Deep Learning resources

Numpyann ⭐ 95

Implementation of Artificial Neural Networks using NumPy

PyMilo: Python for ML I/O

Xtreme Vision ⭐ 76

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Deep Learning Model Deploy With Django ⭐ 74

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Free Artificial Intelligence Resources ⭐ 62

Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.

Modelhub ⭐ 61

A collection of deep learning models with a unified API.

State of the Art Neural Networks for Deep Learning

Unofficial implementation of the DragGAN paper

Blur And Clear Classification ⭐ 56

Classifying the Blur and Clear Images

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

Mixed Precision Pytorch ⭐ 46

Training with FP16 weights in PyTorch

The Spiking Reservoir (Liquid State Machine - LSM) Simulator

Neuro Symbolic Sudoku Solver ⭐ 44

⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

Malgazer ⭐ 43

A Python malware analysis library.

Ejtradermt ⭐ 40

Metatrader 5 API - Trading and history OHLC Dataframe in Nano Seconds

A Deep-Learning multi-purpose chatbot made using Python3

Hierarchical self-organizing maps for unsupervised pattern recognition

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

Online Relationship Learning ⭐ 34

Unsupervised ML algorithm for predictive modeling and time-series analysis

Siamese Bert Fake News Detection Liar ⭐ 33

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.

Handwritten Digits Classification Using Knn Multiclass_perceptron Svm ⭐ 32

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Neat Python ⭐ 31

Python implementation of the NEAT neuroevolution algorithm

Python Neuron ⭐ 30

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Landslide Susceptibility Assessment Tools - Project Manager Suite

Applied Machine Learning Course ⭐ 28

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

Deep Learning A Z Hands On Artificial Neural Network ⭐ 27

Codes and Templates from the SuperDataScience Course

Kitchenette ⭐ 25

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.

Project Origin ⭐ 24

An Artificial Life simulator for Investigating Noogenesis

Neural Network From Scratch Python ⭐ 24

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

Numpycnnandroid ⭐ 23

Convolutional Neural Network for Android using Kivy and NumPy

Introdlpython ⭐ 22

This repository is updated by a number of introductory projects to deep learning with Python.

Wargames ⭐ 22

Two agents shooting at each other, controlled by a neural network optimized with a genetic algorithm.

Shapley_regressions ⭐ 22

Statistical inference on machine learning or general non-parametric models

Kivyandroidclassification ⭐ 21

Image Classification for Android using Artificial Neural Network using NumPy and Kivy.

Unpackai ⭐ 20

The Unpack.AI library

Neurapse ⭐ 20

Nuerapse simulations for SNNs

Fault Detection For Predictive Maintenance In Industry 4.0 ⭐ 19

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

PyTorch implementation of GLOM

Cardiacsegmentationpropagation ⭐ 19

Code for cardiac segmentation

Upscaler ⭐ 17

Upscale and enhance images

Airfoilann ⭐ 17

Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".

Intro to Artificial Neural Networks for High Schoolers

Neuroevolution Flappy Bird ⭐ 15

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

Naive Ocr ⭐ 15

A naive ocr that uses Artificial Neural Network built from scratch.

An AI to teach Google Chrome's dinosaur to jump obstacles.

Covid Chest Image Classification From Deep Residual Networks ⭐ 14

Rl_trading ⭐ 14

Road Lane Detection ⭐ 14

A computer vision project for detecting road lanes in real-time video streams. This project makes use of OpenCV, a popular open-source computer vision library, to process video frames and identify the road lanes.

Artificial Neural Networks Visualizer ⭐ 13

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Coursera Machine Learning ⭐ 13

[WIP] In this repository I implemented all assignments in python. (No octave to python library)

Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).

Idc Detection System ⭐ 12

The Invasive Ductal Carcinoma (IDC) Detection System is an open source computer vision program created to classify IDC positive and negative samples. This project is a complete system including a locally hosted webserver / UI / API allowing you to manage your pipeline.

Model Playgrounds ⭐ 12

A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.

Gans N Reels ⭐ 12

Creating Irish Music using a Generative Adversarial Neural Network

Tensorflow_node ⭐ 11

Tensorflow based ROS node for evaluating deep learning algorithms.

Deep Learning Machine Learning Ai Tensorflow Python ⭐ 11

🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

Tass Facenet ⭐ 11

TASS Facenet uses Siamese Neural Networks and Triplet Loss to classify known and unknown faces by calculating distances between images, and communicates with IoT devices/applications via the free iotJumpWay PaaS

Spiralnet ⭐ 11

Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training.

Cardiacmotionflow ⭐ 11

Code for the analysis of cardiac motion and cardiac pathology classification

Stock Market Prediction Using Sentiment Analysis ⭐ 10

stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))

Tf_seq2seq_losses ⭐ 10

TensorFlow implementations of losses for sequence to sequence machine learning models

Consciences ⭐ 9

ConsciencesAI (TFBoost) Framework Repository (TensorFlow)

Mlp Keras Iris Dataset ⭐ 9

Perceptron Multicapa (MLP) clasificación - Multilayer Perceptron (MLP) for multi-class classification for iris dataset

OpenAI CLIP based image generator with complex config file controlled transformation and training pipelines

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

CNN to detect Pneumonia using Chest X-Rays

Handwritten Digit Recognition ⭐ 8

Training and testing done in Python, recognition web done in JavaScript.

Marsrover ⭐ 7

AI controlling a Mars Rover

Sign Language Recognition Using Scikit Learn And Cnn ⭐ 7

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

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