k-schubert's Projects
Using Tweepy to pull data from Twitter and scraping world news to predict daily sentiment for stocks using BERT.
Using BERT to do sentiment analysis on Google Play reviews.
Linear Regression model on the Brazilian House Rent dataset trained with mini-batch SGD.
Lightweight chatgpt bot built using Next.js and the OpenAI Streaming API. 一个使用 Next.js 和 OpenAI Streaming API 创建的简易ChatGPT聊天机器人
CNN model on the CIFAR10 image dataset. Used the Adam optimizer. Model trained for 20 epochs achieves 76% test accuracy. No data transformations.
Multinomial Logistic Regression model trained with mini-batch SGD on the CIFAR-10 image dataset.
Neural Network model on the CIFAR-10 image dataset trained with mini-batch SGD.
Wide ResNet 22 model trained on the CIFAR10 image dataset.
ResNet model on the CIFAR10 image dataset.
A project to perform sentiment analysis on crypto news articles.
Data visualization using 'ggplot2' on TdF winners.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A RAG chatbot for UNIGE developed during the University of Geneva 2023 Hackathon.
A repo for my IARTS projects (AI generated art, style transfer, stable diffusion, etc.).
Experiment programming in JS/HTML for Prof. Scheibehenne Cognitive Psychology lab (under the supervision of PhD Antonia Krefeld-Schwalb)
Experimenting with LLMs and training.
Simulation study on the estimation of effect sizes and power
Matlab projects from the MSc. Statistics
GAN model on the MNIST image dataset.
Multinomial Logistic Regression on the MNIST image dataset trained with mini-batch SGD.
Neural Network model on the MNIST image dataset trained with mini-batch SGD.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
This project aims to: 1. Create a dashboard to visualize professional cyclist race data 2. Identify upcoming riders and talent through data analysis 3. Analyze team performance 4. Predict winners in professional cycling (World Tour) 5. Create a racing calendar optimization tool. The dataset was constructed by scraping the 'www.procyclingstats.com' website.
Python projects from the MSc. Statistics
R Projects from the MSc. Statistics
Summer School Course 2019
A repository to experiment with a specialized AI Assistant chatbot for ML Research
A project to detect emotions from audio samples (Emo-DB: http://emodb.bilderbar.info/start.html).
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent