AdalFlow: The library to build & auto-optimize LLM applications.

Database diagrams editor that allows you to visualize and design your DB with a single query.

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Turns Data and AI algorithms into production-ready web applications in no time.

Get your documents ready for gen AI

Official inference framework for 1-bit LLMs

State-of-the-Art Text Embeddings

The book every data scientist needs on their desk.

🏅 Collection of Kaggle Solutions and Ideas 🏅

Create an issue on FireDucks

Fast and customizable framework for automatic ML model creation (AutoML)

Application of tree modeling on top of conformal prediction to improve local efficiency

This repo contains "Databricks Certified Data Engineer Professional" Questions and related docs.

Code examples and jupyter notebooks for the Cohere Platform

Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

Python Library for Accessing the Cohere API

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Turn an entire GitHub Repo into a single organized .txt file to use with LLM's (GPT-4, Claude Opus, Gemini, etc)

The resources of the preparation course for Databricks Data Engineer Professional certification exam

DANets (a family of neural networks) for tabular data classification/ regression.

Apache Superset is a Data Visualization and Data Exploration Platform

The best repo showing why bayesianism is a complete misnomer

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

a scalable data profiler

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

LibAUC: A Deep Learning Library for X-Risk Optimization