#Artificial-neural-networks
Showing 60 of 114 repositories tagged #artificial-neural-networks, ranked by stars
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
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
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
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
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)
Diagrams for visualizing neural network architecture
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
🤖 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
C++ openframeworks addon and examples integrating Google's TensorFlow numerical computation and machine learning library
This is an open sourced book on deep learning.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
A Community Open-Source Saas for Crafting/Building/Creating Chatbots with OpenAI's Assistant API that you can add to your website.
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
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.
Source code and pretrained model for running pix2pix in realtime on a webcam feed.
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"
Learning to Cluster. A deep clustering strategy.
AutoNode: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation
AI Talks - ChatGPT Assistant via Streamlit
An Echo State Network module for PyTorch.
Add Dendrites to your PyTorch Project
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
👨🏽🏫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)
A deep learning based gaze estimation framework implemented with PyTorch
Code for Java Deep Learning Cookbook
[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
State-of-the-art face detection and face recognition for .NET.
Classifying the Blur and Clear Images
Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.
Metatrader 5 API - Trading and history OHLC Dataframe in Nano Seconds
Intro to Artificial Neural Networks for High Schoolers