Artificial Neural Networks Open Source Projects

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

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

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

simple neural network library in ANSI C

Use unsupervised and supervised learning to predict stocks

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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.

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

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.

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

Courses, Articles and many more which can help beginners or professionals.

A curated list of awesome awesomeness about artificial intelligence

Curso de Introducción a Machine Learning con Python

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

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

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

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

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

deeplearning.ai , By Andrew Ng, All video link

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

🤖 A portable, header-only, artificial neural network library written in C99

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

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

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

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.

PyTorch - Python + Nim

This is an open sourced book on deep learning.

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

An Open-Source SaaS Platform for Crafting Chatbots with OpenAI's Assistant.

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

The simplest form of an artificial neural network explained and demonstrated.

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.

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

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 :+1:

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

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

Learning to Cluster. A deep clustering strategy.

AI Talks - ChatGPT Assistant via Streamlit

A Repo to store the Google Colaboratory Notebooks that I have created and shared

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).

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

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

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

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

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

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Code for Java Deep Learning Cookbook

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

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

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

PyMilo: Python for ML I/O

TensorFlow C API Class Wrapper in Server Side Swift.

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

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

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

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

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

A Deep-Learning multi-purpose chatbot made using Python3