dxsim

AdalFlow

AdalFlow: The Library for LLM Applications

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

causalnlp

CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.

PyRCA

PyRCA: A Python Machine Learning Library for Root Cause Analysis

camel

🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

Fast-BM25

a fast implementation of BM25

dspy-neo4j-knowledge-graph

LLM-driven automated knowledge graph construction from text using DSPy and Neo4j.

GraphGPT

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

genai-stack

Langchain + Docker + Neo4j + Ollama

LLM101n

LLM101n: Let's build a Storyteller

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

burr

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.

VictoriaMetrics

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

axum

Ergonomic and modular web framework built with Tokio, Tower, and Hyper

rust-llm-rag

To implement LLM as a services.

streamlit-tapas

Streamlit TAPAS question answering application

candle

Minimalist ML framework for Rust

mamba.rs

linfa

A Rust machine learning framework.

marqo-gpt3

Article on Marqo + GPT3 for news summarisation

RAG-SQL-Generator

Enhance SQL query generation using OCI Gen AI and Marqo. This project integrates with Oracle Autonomous Data Warehouse, leveraging DDL and comments for context-aware natural language queries, indexing and searching vectors, and executing optimized SQL commands.

griptape

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

fastgraphml

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

intel-extension-for-transformers

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, Axolotl, etc.

repo_search

Search through your codebases with Marqo and an LLM all hosted locally.

GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Build-ML-pipelines-for-Computer-Vision-NLP-and-Graph-Neural-Networks-using-Nvidia-Triton-Server

Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

istio

Connect, secure, control, and observe services.