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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Deployment of Computer Vision models with Django on AWS EC2
Fast and memory-efficient exact attention
Minimalistic large language model 3D-parallelism training
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A natural language interface for computers
🌼 🌼 🌼 🌼 🌼 The most popular, free and open-source Tailwind CSS component library
The official PyTorch implementation of Google's Gemma models
Build and ship your app faster https://fireship.io
A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Robust Speech Recognition via Large-Scale Weak Supervision
Examples and guides for using the OpenAI API
Hackers' Guide to Language Models
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
All Algorithms implemented in Python
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
A playbook for systematically maximizing the performance of deep learning models.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
An opinionated, actionable guide for software engineering interviews.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.