eborboihuc

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

hydra

Hydra is a framework for elegantly configuring complex applications

start-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

awesome-tips

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

YOLOP

You Only Look Once for Panopitic Driving Perception.（MIR2022）

BoostingMonocularDepth

SparseR-CNN

[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

algos

Competitive programming algorithms in C++

comma10k

10k crowdsourced images for training segnets

stereo-transformer

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

xcit

Official code Cross-Covariance Image Transformer (XCiT)

LSTR

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

LaneATT

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

lanedet

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

IBRNet

CIA-SSD

CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.

reverse-interview-zh-tw

📖 reverse-interview 繁體中文翻譯計畫。原作者：https://github.com/viraptor/reverse-interview

Holocron

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Object-Goal-Navigation

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

improving_segmentation_with_selfsupervised_depth

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

S2R-DepthNet

StarterCode

Starter Code for VALUE benchmark

coord-conv-pytorch

An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch