neural-network

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

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

simple neural network library in C99

ECCV 2026 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2026论文和开源项目

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

JAX - A curated list of resources https://github.com/google/jax

C++ Implementation of PyTorch Tutorials for Everyone

Machine learning on FPGAs using HLS

Training PyTorch models with differential privacy

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

Deep learning in Rust, with shape checked tensors and neural networks

Self-contained Machine Learning and Natural Language Processing library in Go

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Official github repository for Fast Artificial Neural Network Library (FANN)

A lightweight library for PyTorch training tools and utilities

PyTorch tutorials and best practices.

Acceleration package for neural networks on multi-core CPUs

NBA sports betting using machine learning

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

A PyTorch library and evaluation platform for end-to-end compression research

GoMLX: An Accelerated Machine Learning Framework For Go

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

A Data Streaming Library for Efficient Neural Network Training

Multi-class confusion matrix library in Python

A neural network library built in JavaScript

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

A toolkit for time series machine learning and deep learning