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Airlab @ CMU
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Source Code for "Map It Anywhere (MIA): Empowering Bird’s Eye View Mapping using Large-scale Public Data"
A curated list of awesome places to learn and/or practice algorithms.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Learn how to design, develop, deploy and iterate on production-grade ML applications.
The open-source tool for building high-quality datasets and computer vision models
Scripts to build a trimmed-down Windows 11 image.
Flexible Python configuration system. The last one you will ever need.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Fish shell like syntax highlighting for Zsh.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
When do we not need larger vision models?
Terminal-based CPU stress and monitoring utility
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods…
The world's simplest facial recognition api for Python and the command line
🎁 5,400,000+ Unsplash images made available for research and machine learning
Open source Structure-from-Motion pipeline
Python renderer for OpenStreetMap with custom icons intended to display as many map features as possible
Firefly III: a personal finances manager
Cross-platform lib for process and system monitoring in Python
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy