Deep learning optimization library: makes distributed training easy
A library for accelerating Transformer models on NVIDIA GPUs
PyTorch Lightning + Hydra. A very user-friendly template
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
A simple forecasting package
Probabilistic time series modeling in Python
Deep Learning Visualization Toolkit
Build cross-modal and multimodal applications on the cloud
Physical Symbolic Optimization
Library providing end-to-end GPU-accelerated recommender systems
Open Data, more than 50 financial data
An open source python library for automated feature engineering
Paddle Quantum
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine
Best Practices on Recommendation Systems
MII makes low-latency and high-throughput inference possible
The data structure for multimodal data
PaddlePaddle End-to-End Development Toolkit
Library for serving Transformers models on Amazon SageMaker
A Python toolbox for scalable outlier detection
High-performance neural network inference framework for mobile
Graph Neural Networks in Julia
Python toolbox to create adversarial examples
Guide to deploying deep-learning inference networks
NVIDIA Federated Learning Application Runtime Environment