litestar-org / litestar
Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
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Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Experience macOS just like before
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
A framework for few-shot evaluation of language models.
A feature-rich command-line audio/video downloader
Optional static typing for Python
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AI Toolkit for Healthcare Imaging
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Flax is a neural network library for JAX that is designed for flexibility.
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
🦜🔗 Build context-aware reasoning applications
🐢 Open-Source Evaluation & Testing for LLMs and ML models
Large Language Model Text Generation Inference
A collaboration friendly studio for NeRFs
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
ModelScope: bring the notion of Model-as-a-Service to life.
A Python utility / library to sort imports.
Python version of the Playwright testing and automation library.
A Python framework for high performance GPU simulation and graphics
Ongoing research training transformer models at scale