Tensors and Dynamic neural networks in Python with strong GPU acceleration

Supercharge Your Model Training

Implicit representation of various things using PyTorch and high order layers

The Unified AI Framework

Simple and basic machine learning algorithms implemented from scratch in NumPy.

Low-code framework for building custom LLMs, neural networks, and other AI models

Enhance your knowledge in medical research with the help of LLM and RAG.

Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Slang Identification via Deep Learning using PyTorch with a modern GUI, and Data Augmentation.

Nerlnet is a distributed machine learning platform for experiments and IoT deployment.

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

AI-FitnessTrainer using YOLOv8-pose

A Python and Rust chess engine that starts from Zero.

Application designed to predict the impacts of climate change and respond to natural disasters using satellite imagery and machine learning.

A self-driving car project trained with manual driving data using a neural network model. It utilizes ROS2 and the Webots simulation environment.

Geometric Computer Vision Library for Spatial AI

Recreating PyTorch from scratch (C/C++, CUDA and Python, with GPU support and automatic differentiation!)