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Search results for python artificial neural networks
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127 search results found
Imageai
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8,051
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Aialpha
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1,618
Use unsupervised and supervised learning to predict stocks
Top Deep Learning
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1,437
Top 200 deep learning Github repositories sorted by the number of stars.
Continual Learning
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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
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729
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Python Ml Course
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724
Curso de Introducción a Machine Learning con Python
Tensorslow
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632
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
Trending Deep Learning
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449
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
First Steps Towards Deep Learning
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375
This is an open sourced book on deep learning.
Perceptron
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370
A flexible artificial neural network builder to analyse performance, and optimise the best model.
Machine Learning Guide
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366
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Tensorflow Resources
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327
Curated Tensorflow code resources to help you get started with Deep Learning.
100daysofmlcode
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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
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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
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255
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Ai Talks
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246
AI Talks - ChatGPT Assistant via Streamlit
L2c
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225
Learning to Cluster. A deep clustering strategy.
Data Science Resources
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197
👨🏽🏫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
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191
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Sparse Evolutionary Artificial Neural Networks
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187
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Text2poster Icassp 22
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171
Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
Machine Learning And Ai In Trading
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169
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Brain Inspired Replay
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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).
Continual Learning Benchmark
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158
Evaluate three types of task shifting with popular continual learning algorithms.
Cnn Svm
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151
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Mariana
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151
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Palm E
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143
Implementation of "PaLM-E: An Embodied Multimodal Language Model"
Malware Classification
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140
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Lightnn
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111
The light deep learning framework for study and for fun. Join us!
Brainforge
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111
A Neural Networking library based on NumPy only
Awesome Deep Learning
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105
Deep Learning resources
Numpyann
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95
Implementation of Artificial Neural Networks using NumPy
Pymilo
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94
PyMilo: Python for ML I/O
Pyanomaly
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92
Useful Toolbox for Anomaly Detection
Xtreme Vision
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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
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74
Serving a keras model (neural networks) in a website with the python Django-REST framework.
Gru Svm
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70
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Free Artificial Intelligence Resources
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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
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61
A collection of deep learning models with a unified API.
Pyradox
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58
State of the Art Neural Networks for Deep Learning
Ai Mag
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58
AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network
Draggan
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57
Unofficial implementation of the DragGAN paper
Blur And Clear Classification
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56
Classifying the Blur and Clear Images
Pyera
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53
Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.
Mixed Precision Pytorch
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46
Training with FP16 weights in PyTorch
Bee
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46
The Spiking Reservoir (Liquid State Machine - LSM) Simulator
Neuro Symbolic Sudoku Solver
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44
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Malgazer
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43
A Python malware analysis library.
Ejtradermt
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40
Metatrader 5 API - Trading and history OHLC Dataframe in Nano Seconds
Chatbot
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37
A Deep-Learning multi-purpose chatbot made using Python3
Hsom
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36
Hierarchical self-organizing maps for unsupervised pattern recognition
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Online Relationship Learning
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34
Unsupervised ML algorithm for predictive modeling and time-series analysis
Siamese Bert Fake News Detection Liar
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33
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
Nlu
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33
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
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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
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31
Python implementation of the NEAT neuroevolution algorithm
Python Neuron
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30
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Lsat
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29
Landslide Susceptibility Assessment Tools - Project Manager Suite
Applied Machine Learning Course
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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
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27
Codes and Templates from the SuperDataScience Course
Kitchenette
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25
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Neural Network From Scratch Python
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24
A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.
Fake Instagram Profile Detection
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24
Model Detects Fake Instagram Profiles using Deep Learning Approach of Artificial Neural Networks (ANN) for the fair use of social media
Drl
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24
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
Project Origin
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24
An Artificial Life simulator for Investigating Noogenesis
Numpycnnandroid
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23
Convolutional Neural Network for Android using Kivy and NumPy
Shapley_regressions
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22
Statistical inference on machine learning or general non-parametric models
Introdlpython
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22
This repository is updated by a number of introductory projects to deep learning with Python.
Wargames
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22
Two agents shooting at each other, controlled by a neural network optimized with a genetic algorithm.
Kivyandroidclassification
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21
Image Classification for Android using Artificial Neural Network using NumPy and Kivy.
Neurapse
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20
Nuerapse simulations for SNNs
Unpackai
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20
The Unpack.AI library
Cardiacsegmentationpropagation
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19
Code for cardiac segmentation
Glom
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19
PyTorch implementation of GLOM
Fault Detection For Predictive Maintenance In Industry 4.0
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19
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Intellip
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18
IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.
Airfoilann
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17
Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".
Upscaler
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17
Upscale and enhance images
Ai Book
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16
Intro to Artificial Neural Networks for High Schoolers
Thepayne
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16
Artificial Neural-Net compression and fitting of synthetic spectral grids.
Neuroevolution Flappy Bird
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15
A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
Dino Ai
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15
An AI to teach Google Chrome's dinosaur to jump obstacles.
Naive Ocr
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15
A naive ocr that uses Artificial Neural Network built from scratch.
Rl_trading
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14
Road Lane Detection
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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.
Covid Chest Image Classification From Deep Residual Networks
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14
Msa
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13
Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
Artificial Neural Networks Visualizer
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13
Visualizing Artificial Neural Networks (ANNs) with just One Line of Code
Coursera Machine Learning
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13
[WIP] In this repository I implemented all assignments in python. (No octave to python library)
Gans N Reels
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12
Creating Irish Music using a Generative Adversarial Neural Network
Idc Detection System
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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
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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.
Cardiacmotionflow
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11
Code for the analysis of cardiac motion and cardiac pathology classification
Tensorflow_node
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11
Tensorflow based ROS node for evaluating deep learning algorithms.
Spiralnet
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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.
Deep Learning Machine Learning Ai Tensorflow Python
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11
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Artificial Neural Network Business_case_study
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10
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
Stock Market Prediction Using Sentiment Analysis
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10
stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))
Tass Facenet
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10
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
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