ricosuaveguapo Goto Github PK
Name: RicoSuave
Type: User
Company: Berry AI
Bio: AI Engineer, Active Researcher, Data & Theory Enthusiast. MD in High Energy Phenomenology Physics. Experienced in Astrostatistics.
Location: Taipei
Name: RicoSuave
Type: User
Company: Berry AI
Bio: AI Engineer, Active Researcher, Data & Theory Enthusiast. MD in High Energy Phenomenology Physics. Experienced in Astrostatistics.
Location: Taipei
Home Work from 電腦視覺馬拉松
NLP經典機器學習馬拉松
My journey of AI learning
📚 Papers and blogs by organizations sharing their work on data science & machine learning in production.
Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
A Python implementation of global optimization with gaussian processes.
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial
A faster pytorch implementation of faster r-cnn
starter from "How to Train a GAN?" at NIPS2016
Image augmentation for machine learning experiments.
Recycle Metal Classification
Most popular metrics used to evaluate object detection algorithms.
How to train an object detection model easy for free
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
This repo reproduces the techniques that open deep learning models and explait them.
Based on the SE-Resnet CNN model, I use the attention network and CLAHE data augmentation
Semantic Segmentation Architectures Implemented in PyTorch
PyTorch ,ONNX and TensorRT implementation of YOLOv4
A basic pytorch CNN binary classifier.
rtl88x2bu driver updated for current kernels.
SegAN: Semantic Segmentation with Adversarial Learning
Segmentation models with pretrained backbones. PyTorch.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
This repo presents a workflow of: auto-rotate, detect and recognize non-constant length English-number sequence.
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
Head Person Helmet Detection on Construction Sites,基于目标检测工地安全帽和禁入危险区域识别系统,🚀😆附 YOLOv5 训练自己的数据集超详细教程!!!😆🚀
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.