Deep learning framework written in Kotlin.
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Lightly is a computer vision framework for self-supervised learning.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
Flexible Deep Learning Framework in Julia.
A modular active learning framework for Python, built on top of scikit-learn.
Support Vector Machine for Node.js.
An open-source cross-platform performance library for deep learning applications.
Step by step guide to learning Prompt Engineering in 2026.
A Modular Framework for Multi-Modal Tabular Learning.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Implementing a ChatGPT-like LLM from scratch, step by step.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Deep learning based facial detector for Python coming with facial landmarks.
Curated list of Federated Learning Systems related academic papers, articles, tutorials, slides and projects.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Learning Coach provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
A framework for performing reproducible AI and ML for Weights and Biases.
Code and documentation to train Stanford's Alpaca models, and generate the data.