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Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
Lesson repository for Github Actions Deep Dive (1074)
m rag
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
DevOps experimental
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
DQI (Data Quality Index) calculates quality of NLP datasets.
A library for easily evaluating machine learning models and datasets.
Google Research
A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
:mag: LLM 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. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search and conversational agent
All the open source things related to the Hugging Face Hub.
⚡ Building applications with LLMs through composability ⚡
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
Teaching LLMs memory management for unbounded context 📚🦙
Mother of All BCI Benchmarks
Python app using the Flask framework that can be containerized and deployed to Azure.
Developing AI tools for developers by leveraging the data made openly available by OpenShift and Kubernetes CI platforms.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
k8s project primis
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
A general-purpose encoder-decoder framework for Tensorflow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.