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

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

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A curated list of awesome awesomeness about artificial intelligence

Curso de Introducción a Machine Learning con Python

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

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

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

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

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