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🔗 Some useful websites for programmers.
A tool for working with stacked PRs on github.
A game theoretic approach to explain the output of any machine learning model.
🚀 The Discord Embedded App SDK lets you build rich, multiplayer experiences as Activities inside Discord.
Website that track and display the number of people at Pitt's various recreational facilities.
Build and generate PDF using React 📄 UI kit for PDFs and print documents. Simple, reusable components and templates to create great invoices, docs, brochures. Use your favorite front-end framework …
Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"
A fast, accurate and multilingual fuzzy search library for the frontend.
An extremely fast Python package installer and resolver, written in Rust.
A sharp, readable, vector-y version of Monocraft, the programming font based on Minecraft
Tips and resources to prepare for Behavioral interviews.
Apache Beam is a unified programming model for Batch and Streaming data processing.
An authorization library that supports access control models like ACL, RBAC, ABAC in Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of th…
Chat with GPT-4 turbo on any AWS page. Share your current screen with AI.
✨✍️ Wordcraft is an AI-powered text editor with an emphasis on short story writing
🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines).