Inayet Hadi 's Projects
Evaluation and Tracking for LLM Experiments
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
Building a modern alternative to Salesforce ⚡️ You can star to support our work!
Type inference for Machine Learning pipelines
Typer, build great CLIs. Easy to code. Based on Python type hints.
vacuum is the worlds fastest OpenAPI 3, OpenAPI 2 / Swagger linter and quality analysis tool. Built in go, it tears through API specs faster than you can think. vacuum is compatible with Spectral rulesets and generates compatible reports.
LLM-powered Conversational AI experience using Vectara
An open source framework to crawl data sources and ingest into Vectara
Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.
The awesome document factory
Samples for WeasyPrint
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
Website for the Weaviate vector database
A python native client for easy interaction with a Weaviate instance.
Snippits, scripts and notes from youtube tutorials
Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
The world's coolest API Validation and compliance tool. Validate APIs against OpenAPI specifications and much more
Xircuits toolkit for creating and experimenting with BabyAGI/AutoGPT-style agents
OpenAI components for Xircuits
Simple visual programming environment for jupyterlab
In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
Make YouTube Chapters from a downloaded Transcript
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Zep - Scalable Building Blocks for LLM Apps (Python Client)
Zero to Nix is your guide to learning Nix and flakes. Created by Determinate Systems.