PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Visualizer for neural network, deep learning and machine learning models

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A Deep learning library for neutrino telescopes

A Data Streaming Library for Efficient Neural Network Training

An Open Source Machine Learning Framework for Everyone

3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

On-device Neural Engine

High-efficiency floating-point neural network inference operators for mobile, server, and Web

🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

To build a classification system to predict whether a customer will churn or not based on the IBM Telecom Data from Kaggle. Technically, it is a binary classifier that divides clients into two groups-those who leave and those who do not. The classifier will be built using bagging algorithms like Random Forest, boosting algorithms & Neural Networks

An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.

Uma rede neural recorrente treinada com processamento de linguagem natural, para a classificação de sentimentos. 💬

On-device AI across mobile, embedded and edge for PyTorch

A lightweight library for PyTorch training tools and utilities

A flexible, high-performance serving system for machine learning models

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/