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Name: Phillip Kim
Type: User
Company: Banking & Quantitative Solutions LLC
Location: Pasadena
Name: Phillip Kim
Type: User
Company: Banking & Quantitative Solutions LLC
Location: Pasadena
A collection of resources and papers on Diffusion Models
Reinforcement learning resources curated
A Collection of Coursera Capstone Projects
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
This repository is used by the Developer Site training content, Tokyo release.
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
Implementation of iPhone X's FaceID in TensorFlow using ResNet50 / Batch Hard Triplet Loss
Face recognition using Tensorflow
The fastai deep learning library, plus lessons and tutorials
Animation engine for explanatory math videos
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Using mxnet for face-related algorithm.
MTCNN face detection
Neural Networks from Scratch in various programming languages
Matching nomogram for medical students applying to OBGYN NRMP 2019
Open Source Computer Vision Library
OpenCV extra data
Face recognition with deep neural networks.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
using facenet algorithm
Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet
Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018
sentiment analysis datasets
The SentiWordNet sentiment lexicon
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
🍑 This is a MNIST Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR 2017
A PyTorch Implementation of SphereFace.
Predict Stocks Market Machine Learning
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.