Stars
ReconNER, Debug annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
A codebase that makes differentially private training of transformers easy.
Documentation and Examples of base container modifications
These confs are pulled into our SWAG image: https://github.com/linuxserver/docker-swag
The easiest, most secure way to use WireGuard and 2FA.
Neo4j graph construction from unstructured data using LLMs
Persuasive Jailbreaker: we can persuade LLMs to jailbreak them!
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Benchmark datasets, data loaders, and evaluators for graph machine learning
StellarGraph - Machine Learning on Graphs
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Inductive relation prediction by subgraph reasoning, ICML'20
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
LLM training code for Databricks foundation models
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
LLM UI with advanced features, easy setup, and multiple backend support.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word prediction language models.
The implementation of text classification using character level convoultion neural networks using Keras
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…
A framework for few-shot evaluation of language models.
Tools for diffing and merging of Jupyter notebooks.
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Apache TinkerPop - a graph computing framework