Stars
Setup Your Mac aims to simplify initial device configuration by leveraging swiftDialog and Jamf Pro Policy Custom Events to allow end-users to self-complete Mac setup post-enrollment.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Prompts for our Grok chat assistant and the `@grok` bot on X.
The minimal javascript library to create flowcharts ✨
Release repo for our SLAM Handbook
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Invoicing, Time tracking, File reconciliation, Storage, Financial Overview & your own Assistant made for Freelancers
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Official inference library for Mistral models
Data-Driven Evaluation for LLM-Powered Applications
The modern link attribution platform. Loved by world-class marketing teams like Framer, Perplexity, Superhuman, Twilio, Buffer and more.
Draw a mockup and generate html for it
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The official Python library for the OpenAI API
LlamaIndex is the leading document agent and OCR platform
Source code for the X Recommendation Algorithm
Making large AI models cheaper, faster and more accessible
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
A playbook for systematically maximizing the performance of deep learning models.
Master programming by recreating your favorite technologies from scratch.
Open source code for "Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios" RA-L 2018
Fast symbolic computation, code generation, and nonlinear optimization for robotics