mlOps
Build your own IaC platform with Pulumi's Automation API.
A GitHub Action for running a Google Cloud Vertex AI notebook.
Best practices, rules and style guide for Jupyter[hub|lab] notebooks in any language
🤖 A framework for building GitHub Apps to automate and improve your workflow
CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
🎰 A curated list of machine learning resources, preferably CoreML
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
An Open Source Machine Learning Framework for Everyone
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
These are the best resources for System Design on the Internet
A user-space file system for interacting with Google Cloud Storage
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Code and data for the Summatization Workshop at EMNLP 2021 paper "Modeling Endorsement for Multi-Document Abstractive Summarization"
Data Quality Engine for BigQuery
The developer platform for on-demand cloud development environments to create software faster and more securely.
Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
Secure environments for developers and their agents
tool for turning many repos into a meta repo. why choose many repos or a monolithic repo, when you can have both with a meta repo?