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🦜🔗 Build context-aware reasoning applications
Transformer related optimization, including BERT, GPT
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Machine Learning Toolkit for Kubernetes
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Asynchronous Python HTTP Requests for Humans using Futures
CLI tool that uses Codex to turn natural language commands into their Bash/ZShell/PowerShell equivalents
Background task queue for Python backed by Redis, a super minimal Celery
Instrument your FastAPI with Prometheus metrics.
Simple animated GIF screen recorder with an easy to use interface
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
Prometheus instrumentation library for Python applications
Official Python client for Elasticsearch
Cross platform GUI toolkit in Go inspired by Material Design
Seamless operability between C++11 and Python