johnaffolter

johnaffolter's Stars

• whyhow-ai/schemas

  Schemas for WhyHow's automated knowledge graph creation SDK

  7310

• lm-sys/RouteLLM

  A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!

  Language:Python2.9k218

• clockworknowledge/menome_processor

  worker agent API for processing data for Menome Knowledge Vault

  Language:Python2714

• neo4j-labs/text2cypher

  collection of text2cypher datasets, evaluations, and finetuning instructions

  Language:Jupyter Notebook10617

• Snowflake-Labs/snowflake-demo-notebooks

  Collection of Snowflake Notebook demos, tutorials, and examples

  Language:Jupyter Notebook11961

• ProNextJS/declarative-routing

  NextJS Typesafe Routing System

  Language:TypeScript23318

• ObservedObserver/streamlit-shadcn-ui

  Using shadcn-ui components in streamlit

  Language:TypeScript73155

• emcf/thepipe

  Extract clean markdown from PDFs, URLs, Word docs, slides, videos, and more, ready for any LLM. ⚡

  Language:Python1k69

• docker/genai-stack

  Langchain + Docker + Neo4j + Ollama

  Language:Python3.8k806

• Snowflake-Labs/sfguide-spcs-cortex-reactjs-flask-app

  Language:JavaScript174

• katanaml/sparrow

  Data processing with ML and LLM

  Language:Python3.4k357

• andfanilo/streamlit-drawable-canvas

  Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

  Language:TypeScript56687

• johnaffolter/UnityImageSynthesisTutorial1

  Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

  1

• Genetica-Corp/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  1

• AI-ANK/RAGArch

  RAGArch is a Streamlit-based application that empowers users to experiment with various components and parameters of Retrieval-Augmented Generation (RAG) pipelines. Utilizing the power of Llamaindex, RAGArch facilitates the testing of different configurations to see how they perform.

  Language:Python7718

• neo4j/NaLLM

  Repository for the NaLLM project

  Language:TypeScript1.2k237

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k767

• langflow-ai/langflow

  Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

  Language:Python28.3k3.6k

• johnaffolter/amplify-category-api

  The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development. This plugin provides functionality for the API category, allowing for the creation and management of GraphQL and REST based backends for your amplify project.

  1

• njerschow/openai-api

  A tiny client module for the openAI API

  Language:JavaScript27886

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook92.3k14.7k

• johnaffolter/causalml

  Uplift modeling and causal inference with machine learning algorithms

  1

• vaibhavk97/Awesome-AI-Assistant-Exploits

  Curated collection of prompts that break popular AI assistants leading to unexpected behaviour

  3

• happyaffyai/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  1

• johnaffolter/AWS-S3-File-Utilities

  Salesforce Lightning components and supporting software to integrate with Amazon S3 web services.

  1

• johnaffolter/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  1

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.1k616

• SelfExplainML/PiML-Toolbox

  PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

  Language:Jupyter Notebook925111

• SparkedByML/AWS-S3-File-Utilities

  Salesforce Lightning components and supporting software to integrate with Amazon S3 web services.

  1

• aws-samples/aws-serverless-ecommerce-platform

  Serverless Ecommerce Platform is a sample implementation of a serverless backend for an e-commerce website. This sample is not meant to be used as an e-commerce platform as-is, but as an inspiration on how to build event-driven serverless microservices on AWS.

  Language:Python1.1k370