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[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Diverse collection of 100 Hydrogen Torch Use-Cases by different industries, data-types, and problem types
Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Stable Diffusion web UI
Python package for automated data preprocessing & cleaning.
autogenerate boilerplate code for a flask app
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data i…
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Create apps 10x quicker, without Javascript/HTML/CSS.
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Python implementation of the ISO 18245 Merchant Category Codes database ⛺
Dataset for Intagram Fake and Automated Account Detection
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unita…
Best Practices on Recommendation Systems
Rembg is a tool to remove images background
Data and scripts for performing a network analysis of Nashville Meetup groups
An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
Textstat Core provides the base functionality of the Textstat package.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!