mujhematkhojo's Stars
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize any LLM tasks.
ektrah/rdf-toolkit
A TypeScript library for working with Turtle and RDF data, along with a set of tools built around it
SynaLinks/HybridAGI
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
lalanikarim/webrtc-ai-voice-chat
A WebRTC server that allows you to interact with an LLM using your speech and responds back with generated audio.
lab-v2/ChatGPT_MWP_eval
Independent evaluation of ChatGPT on MWP's
lab-v2/pyreason
An explainable inference software supporting annotated, real valued, graph based and temporal logic
vhr1975/eBooks
eBook repo
JanusGraph/janusgraph
JanusGraph: an open-source, distributed graph database
lloydtao/prolog-web-application
A web application implemented with SWI-Prolog HTTP libraries.
simplyhexagonal/typescript-jupyter-kernel
Typescript kernel for Jupyter Notebook and Labs
yunabe/tslab
Interactive JavaScript and TypeScript programming with Jupyter
RManLuo/ChatRule
Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
RManLuo/reasoning-on-graphs
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
jiapuwang/Awesome-TKGC
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
heathersherry/Knowledge-Graph-Tutorials-and-Papers
Insightful Tutorials and Papers about Knowledge Graphs
fekaputra/shacl-plugin
SHACL4Protege - SHACL constraint validation plugin for Protégé
tinygrad/open-gpu-kernel-modules
NVIDIA Linux open GPU with P2P support
easyautoml/teradata
Sharing how to deploy AutoML model into Teradata DB
DAGWorks-Inc/burr
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
industry-bandits/practical-bandits-tutorial
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
T-Flet/Graph-State-Machine
A simple framework for building an easily interpretable computational construct somewhere between a graph automaton and a Turing machine, where states are combinations of (typed) nodes; an example use would be as transparent backend logic by pathing through an ontology.
google-deepmind/alphageometry
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
protegeproject/protege
Protege Desktop
asdf-community/asdf-python
Python plugin for the asdf version manager
asdf-vm/asdf
Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
ashishpatel26/LLM-Finetuning
LLM Finetuning with peft
Pythagora-io/gpt-pilot
The first real AI developer