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anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

blenderproc

A procedural Blender pipeline for photorealistic training image generation

centernet

Object detection, 3D detection, and pose estimation using center point detection:

crestereo-pytorch

Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dl-4-tsc

Deep Learning for Time Series Classification

grpcpp-bidi-streaming

gRPC C++ bidirectional streaming example

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

labelme2coco

How to create custom COCO data set for instance segmentation

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

meshroom

3D Reconstruction Software

mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch re-implementation of Neural Radiance Fields

oasis

Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"

one_shot_3d_photography

This repository contains the code release for the SIGGRAPH 2020 paper "One Shot 3D Photography"

onnx-crestereo-depth-estimation

Python scripts performing stereo depth estimation using the CREStereo model in ONNX.

padim-anomaly-detection-localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

patchcore-inspection

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

recognize-anything

Code for the Recognize Anything Model (RAM) and Tag2Text Model

sam-hq

Segment Anything in High Quality

segment-anything

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.

sktime

A unified framework for machine learning with time series

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai