An end-to-end open source platform for building and deploying machine learning models, with Python and C++ APIs.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Scalable and user friendly neural :brain: forecasting algorithms.
Learn OpenCV : C++ and Python Examples
Fast inference engine for Transformer models
LaTeX/TikZ code for drawing neural network architecture diagrams for reports and presentations.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Techniques for deep learning with satellite & aerial imagery
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Open standard for machine learning interoperability
JAX-based neural network library
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
The most cited deep learning papers
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
An Engine-Agnostic Deep Learning Framework in Java
The Fastest DNN Running Framework on Web Browser
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
A PyTorch library and evaluation platform for end-to-end compression research
Free and fully open-source L2 ADAS stack powered by End-to-End AI technology
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
speech to text benchmark framework
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
DataPredict ML Library: 100+ Lua Models for Deep Learning and Reinforcement Learning 2026
Open Source AI Trainer Studio Setup and Auto Update Tool 2026
MrD Deeplearning Trainer Tool 2026: Open Source AI Model Training Suite for Developers
MrD Deep Learning Studio: AI Training & Model Optimization Tools 2026
AI Studio Trainer Hub 2026: Open Source Installer & Auto-Updater Suite
Open Source AI Training Hub 2026: Build Ethical Machine Learning Models