Maxime Wolf's Projects
Complete ML projects from Berkeley CS 188 / CentraleSupélec Artificial Intelligence elective
By combining innovative LLMs and NLP techniques, this tool enhances evaluations, guiding decisions on the effectiveness and viability of diverse solutions in the context of circular economy-related problems.
Hit Before Release: Predicting a Song's Success with Advanced Analytics
Applied Deep Learning Course
Solving Blach-Scholes model for prices prediction with neural networks
Implementing a chess board and an AI to play chess
A large dataset containing images of clothing patterns
Coreference Resolution
Data science cheatsheets, useful for interview prep
Prescribing diabetes self-management classes to patients using optimal trees methods
Leveraging Machine Learning and NLP techniques to create a novel earnings calls dataset for stock return prediction
Evaluating EfficientNet-b0
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Folder / directory structure options and naming conventions for software projects
A beautiful, simple, clean, and responsive Jekyll theme for academics
Kaggle Competition as part of a ML elective course
Named-entity recognition (drugs, diseases, ...) in medical documents. Visualization using streamlit.
Pytorch implementation of Neural Style Transfer (NST). Reviewing litterature and implementing some ideas.
Optimizing the selection of bus stops for the MBTA to maximize profit margins and simultaneously increase efficiency
Lab for CentraleSupélec quantum computing project
A quantum computing textbook and crash course (in French)
🔎 Sherlock Picasso: Marketing Made Easy
Stable Diffusion from scratch
This project aims at predicting time series
Exploring how Transformers actually transform the data under the hood
A personnal implementation of Variational Auto Encoders.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent