Advanced RAG + Raptor: A sophisticated document processing and retrieval system combining hierarchical document clustering with advanced query processing. Features HTML-to-markdown conversion, recu…

A library for efficient similarity search and clustering of dense vectors.

💫 Toolkit to help you get started with Spec-Driven Development

Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow…

Create an AI capable of solving reasoning tasks it has never seen before (hosted on Kaggle: https://www.kaggle.com/c/abstraction-and-reasoning-challenge)

An ollama agent using function doc-string and inspect module to build the function description.

Projects motion of pixels to a voxel

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🧠 Leon is your open-source personal assistant.

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Corrective RAG demo powerd by Ollama

We compute the Brumer-Stark units and the polynomial required to generate the Hilbert class field of some real quadratic fields, as computational evidence for Dasgupta and Kakde (2021) Brumer-Stark…

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Kolmogorov Arnold Networks

Examples and guides for using the OpenAI API

code and resources used in the Going Meta sessions

Studying the effect of varying beta (coefficient of the KL term) in a beta-VAE on the MNIST dataset

Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset

Training an AE on the cats & dogs dataset using the continuous bernoulli log loss from 1907.06845

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Pluralsight trainings code

Insightful Tutorials and Papers about Knowledge Graphs

Python Digital Forensics Cookbook, published by Packt

A Python library that helps data scientists to infer causation rather than observing correlation.

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses