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Name: Paolo Piccinini
Type: User
Name: Paolo Piccinini
Type: User
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A procedural Blender pipeline for photorealistic training image generation
Object detection, 3D detection, and pose estimation using center point detection:
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
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: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Deep Learning for Time Series Classification
gRPC C++ bidirectional streaming example
Instant neural graphics primitives: lightning fast NeRF and more
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.
How to create custom COCO data set for instance segmentation
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
3D Reconstruction Software
OpenMMLab Rotated Object Detection Toolbox and Benchmark
[ICCV 2019] Monocular depth estimation from a single image
Code release for NeRF (Neural Radiance Fields)
A PyTorch re-implementation of Neural Radiance Fields
Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"
This repository contains the code release for the SIGGRAPH 2020 paper "One Shot 3D Photography"
Python scripts performing stereo depth estimation using the CREStereo model in ONNX.
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
PyTorch implementations of Generative Adversarial Networks.
Minimal PyTorch implementation of YOLOv3
Code for the Recognize Anything Model (RAM) and Tag2Text Model
Segment Anything in High Quality
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.
A unified framework for machine learning with time series
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.