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Name: Kohei Suzuki
Type: User
Location: Vancouver
Name: Kohei Suzuki
Type: User
Location: Vancouver
Practice Airflow
PyTorch implementation of "User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks"
Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In this paper, we investigate the sketch-to-image synthesis problem by using conditional generative adversarial networks (cGAN). We propose a model called auto-painter which can automatically generate compatible colors given a sketch. Wasserstein distance is used in training cGAN to overcome model collapse and enable the model converged much better. The new model is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors. Experimental results on different sketch datasets show that the auto-painter performs better than other existing image-to-image methods.
A Speech-To-Text application with Flask in which we can upload a video or an audio file and can get transcripts of the speech in the file we upload.
A topic-centric list of HQ open datasets. PR ☛☛☛
Kohei Suzuki personal site
Candlestick patterns detector
Installer for D-Wave's Ocean tools
Real-Time Face recognition system
Deepfakes Software For All
This repo doesn't have strategy itself but contains useful tools such as backtesting, operation for Oanda API
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing -Paper Implementation on "Riiid! Answer Correctness Prediction", Kaggle Competition
⚡ Building applications with LLMs through composability ⚡
Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling
Sudoku solver that uses image recognition with CNN to recognize 9 by 9 grid and digits, and calculates the solution on D-Wave quantum computers.
Course Synopsis for 7 Gate Academy ML Cohort
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A Flask application of Twitter sentiment analysis by using FinBERT, which is a pre-trained NLP model trained on the financial corpus.
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.