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align-transformers

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

content-github-actions-deep-dive-lesson

Lesson repository for Github Actions Deep Dive (1074)

contoso-chat

m rag

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

devops

DevOps experimental

dnnc-few-shot-intent

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

doc-build-dev

dqi

DQI (Data Quality Index) calculates quality of NLP datasets.

dr-detect-azure

evaluate

A library for easily evaluating machine learning models and datasets.

google-research

Google Research

hamilton

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

haystack

: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

huggingface_hub

All the open source things related to the Hugging Face Hub.

langchain

⚡ Building applications with LLMs through composability ⚡

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

mca_app

memgpt

Teaching LLMs memory management for unbounded context 📚🦙

moabb

Mother of All BCI Benchmarks

msdocs-python-flask-container-web-app

Python app using the Flask framework that can be containerized and deployed to Azure.

ocp-ci-analysis

Developing AI tools for developers by leveraging the data made openly available by OpenShift and Kubernetes CI platforms.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

primis

k8s project primis

ray

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.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sf-hack

streamlit-azure-docker