brade31919
Follow
Stars
[CVPR 2023] Learning Locally Editable Virtual Humans
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A curated list of awesome neural radiance fields papers
The English version of 14 lectures on visual SLAM.
NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
Official dataset for the paper "Learning from Dances: Pose-Invariant Re-Identification for Multi-Person Tracking" (ICASSP '20)
Official implementation for BMVC 2021 paper Render In-between: Motion Guided Video Synthesis for Action Interpolation
Spatiotemporal Multimodal Network for Dynamic Gesture Recognition
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Library for 8-bit optimizers and quantization routines.
Hackable and optimized Transformers building blocks, supporting a composable construction.
Multi-View Optimization of Local Feature Geometry
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
SIFT detection and matching on (almost) any GPU with Vulkan
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)
ETH-Microsoft dataset for the ICCV 2021 visual localization challenge
Torch implementation of DeepMask and SharpMask
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
Development repository for the Triton language and compiler