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Kohei Suzuki's Projects

alacgan icon alacgan

PyTorch implementation of "User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks"

auto_painter icon auto_painter

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.

auto_transcript icon auto_transcript

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.

fx_trading_base icon fx_trading_base

This repo doesn't have strategy itself but contains useful tools such as backtesting, operation for Oanda API

knowledge-tracing-saint icon knowledge-tracing-saint

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing -Paper Implementation on "Riiid! Answer Correctness Prediction", Kaggle Competition

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

mhgan icon mhgan

Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling

sudoku_solver icon sudoku_solver

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.

synopsis icon synopsis

Course Synopsis for 7 Gate Academy ML Cohort

twitter_sentiment icon twitter_sentiment

A Flask application of Twitter sentiment analysis by using FinBERT, which is a pre-trained NLP model trained on the financial corpus.

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