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105 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!!

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.

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Applying_eanns ⭐ 955

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

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

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Tensorslow ⭐ 632

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

Deeplearning.ai ⭐ 617

deeplearning.ai , By Andrew Ng, All video link

Awesome Ai Awesomeness ⭐ 521

A curated list of awesome awesomeness about artificial intelligence

Free Ai Resources ⭐ 466

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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.

Niutensor ⭐ 350

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.

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 👍

Udemy_derinogrenmeyegiris ⭐ 272

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

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.

Learning to Cluster. A deep clustering strategy.

Aidl_kb ⭐ 218

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

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).

Perfect Tensorflow ⭐ 161

TensorFlow C API Class Wrapper in Server Side Swift.

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

Java Deep Learning Cookbook ⭐ 150

Code for Java Deep Learning Cookbook

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

The Math Behind A Neural Network ⭐ 118

📄 The math behind the neural network used for Olivia

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Lightnn ⭐ 111

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

Brainforge ⭐ 111

A Neural Networking library based on NumPy only

Awesome Deep Learning ⭐ 105

Deep Learning resources

Cryptocurrency Prediction With Artificial Intelligence ⭐ 101

First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

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.

Brihaspati ⭐ 66

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

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

A recurrent/memory-based neural network library implemented from scratch in C.

Age And Sex Prediction From Image Convolutional Neural Network With Artificial Intelligence ⭐ 54

Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence

Ai Background Remove ⭐ 52

Cut out objects and remove backgrounds from pictures with artificial intelligence

Note_music_generator ⭐ 48

Mixed Precision Pytorch ⭐ 46

Training with FP16 weights in PyTorch

Neuro Symbolic Sudoku Solver ⭐ 44

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

This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

Bnn Ann Papers ⭐ 41

Papers : Biological and Artificial Neural Networks

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Environment to play around with algorithms and data

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

Java Deep Learning Cookbook ⭐ 35

Java Deep Learning Cookbook, published by Packt

Internshowcase ⭐ 30

Open Source Social Projects from AITS associates with 💝

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

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

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.

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Introdlpython ⭐ 22

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

R2inference ⭐ 21

RidgeRun Inference Framework

Free_machine_learning_deep_learning_ann_books ⭐ 20

Free, Machine Learning, Deep Learning, Artificial Neural Networks, Books, Ebooks. RNN., CNN. TDNN,

Unpackai ⭐ 20

The Unpack.AI library

Cardiacsegmentationpropagation ⭐ 19

Code for cardiac segmentation

Lithography Hotspot Detection ⭐ 17

Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs

Deep Learning using Rectified Linear Units (ReLU)

Tensor To Image ⭐ 16

paper: https://arxiv.org/abs/2110.08037

Neuroevolution Flappy Bird ⭐ 15

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

Implemented Data Science ⭐ 15

Implementation of various data science techniques and research papers

Recurrent Js ⭐ 14

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

Inference Engine ⭐ 14

A deep learning library for use in high-performance computing applications in modern Fortran

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)

Machine Learning Doodle Recognition ⭐ 12

A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.

Deep Learning Machine Learning Ai Tensorflow Python ⭐ 11

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

Cardiacmotionflow ⭐ 11

Code for the analysis of cardiac motion and cardiac pathology classification

Deep Learning in C Programming Language. Provides an easy way to create and train ANNs. cDNN is fast and tries to be as efficient as possible.

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

Tensorflow_node ⭐ 11

Tensorflow based ROS node for evaluating deep learning algorithms.

Deep Feedfoward Neural Network ⭐ 11

This project is a simple neural network maden in javascript as known as MLP(Multilayer Perceptron) also.

A Multi Layer Perceptron (MLP) Artificial Neural Network (ANN) Framework Developed in C for Machine Learning (ML) and Deep Learning (DL)

Tf_seq2seq_losses ⭐ 10

TensorFlow implementations of losses for sequence to sequence machine learning models

Opencv Python Training ⭐ 10

OpenCV-Python Tutorials

Deeplearning.ai Deep Learning Specialization ⭐ 9

This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

Ecommerce Reviews Analysis ⭐ 9

Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)

Mnist Dataset ⭐ 8

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.

CNN to detect Pneumonia using Chest X-Rays

Birinciturkyapayzekaveyapaysiniraglarisempozyumu ⭐ 8

1. Türk Yapay Zeka ve Yapay Sinir Ağları Sempozyumu Bildirileri, 25–26 Haziran 1992 - Bilkent Üniversitesi - Ankara

Hyperface ⭐ 7

Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection

Bertsentimentclassification ⭐ 7

BERT Sentiment Classification on the Large Movie Review Dataset.

Deep Learning ⭐ 7

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, soc

Object_detection_classification_ _ford_otosan_intern_p2 ⭐ 7

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

Adaptative Dropout Pytorch ⭐ 6

Pytorch implementation of Adaptative Dropout a.ka Standout.

Deep Learning For Data Science ⭐ 6

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

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