jkhaykin

jkhaykin's Stars

• jackmpcollins/magentic

  Seamlessly integrate LLMs as Python functions

  Language:Python2k96

• refuel-ai/autolabel

  Label, clean and enrich text datasets with LLMs.

  Language:Python2k141

• smol-ai/developer

  the first library to let you embed a developer agent in your own app!

  Language:Python11.8k1k

• filip-michalsky/SalesGPT

  Context-aware AI Sales Agent to automate sales outreach.

  Language:HTML2k442

• elevenlabs/elevenlabs-python

  The official Python API for ElevenLabs Text to Speech.

  Language:Python2.1k246

• speechbrain/speechbrain

  A PyTorch-based Speech Toolkit

  Language:Python8.7k1.4k

• SYSTRAN/faster-whisper

  Faster Whisper transcription with CTranslate2

  Language:Python11.8k983

• seanpixel/Teenage-AGI

  Language:Python904109

• pashpashpash/vault-ai

  OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

  Language:JavaScript3.3k308

• mayooear/gpt4-pdf-chatbot-langchain

  GPT4 & LangChain Chatbot for large PDF docs

  Language:TypeScript14.9k3k

• yoheinakajima/babyagi

  Language:Python20.1k2.6k

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21k3.7k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59k9.4k

• thesephist/torus

  Torus is an event-driven model-view UI framework for the web, focused on being tiny, efficient, and free of dependencies.

  Language:JavaScript32010

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  68.3k7k

• scaffold-eth/scaffold-eth

  🏗 forkable Ethereum dev stack focused on fast product iterations

  Language:CSS9.1k3.5k

• rough-stuff/rough-notation

  Create and animate hand-drawn annotations on a web page

  Language:TypeScript8.6k205

• teivah/algodeck

  An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯

  Language:HTML5.7k568

• porsager/postgres

  Postgres.js - The Fastest full featured PostgreSQL client for Node.js, Deno, Bun and CloudFlare

  Language:JavaScript7.4k267

• hendricius/the-bread-code

  Learn how to master the art of baking the programmer way.

  Language:Shell4k178

• trekhleb/javascript-algorithms

  📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

  Language:JavaScript188k30.2k

• ageron/handson-ml2

  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.

  Language:Jupyter Notebook27.9k12.7k

• outline/outline

  The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.

  Language:TypeScript27.7k2.2k

• NativeScript/NativeScript

  ⚡ Empowering JavaScript with native platform APIs. ✨ Best of all worlds (TypeScript, Swift, Objective C, Kotlin, Java, Dart). Use what you love ❤️ Angular, Capacitor, Ionic, React, Solid, Svelte, Vue with: iOS (UIKit, SwiftUI), Android (View, Jetpack Compose), Dart (Flutter) and you name it compatible.

  Language:TypeScript24.1k1.6k

• krisk/Fuse

  Lightweight fuzzy-search, in JavaScript

  Language:JavaScript18.2k767

• getredash/redash

  Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

  Language:Python26.1k4.4k

• alexfoxy/lax.js

  Simple & lightweight (<4kb gzipped) vanilla JavaScript library to create smooth & beautiful animations when you scroll.

  Language:JavaScript10.4k491

• nextapps-de/flexsearch

  Next-Generation full text search library for Browser and Node.js

  Language:JavaScript12.4k489

• yyx990803/build-your-own-mint

  Build your own personal finance analytics using Plaid, Google Sheets and CircleCI.

  Language:HTML2.5k210

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.2k5.9k