🦄 A file manager / web client for SFTP, S3, FTP, WebDAV, Git, Minio, LDAP, CalDAV, CardDAV, Mysql, Backblaze, ...

A lightweight & portable faas engine

Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.

Package conda environments for redistribution

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

Optimized primitives for collective multi-GPU communication

package the asynchronous interfaces of Net-snmp

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

😎 A curated list of awesome MLOps tools

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Protection against Model Serialization Attacks

"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files

An open-source, low-code machine learning library in Python

Fast and Accurate ML in 3 Lines of Code

Generate Dockerfiles from your project source code

Kubernetes CSI driver for Direct Attached Storage 💽

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Hopsworks - Data-Intensive AI platform with a Feature Store

GeeseFS-based CSI for mounting S3 buckets as PersistentVolumes

A Container Storage Interface for S3

clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序

CMMLU: Measuring massive multitask language understanding in Chinese

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

PyPI caching proxy

Pypi 本地代理。Pypi local proxy.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

⚡ Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Configs and boilerplates for Label Studio's Machine Learning backend

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)