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Name: Valentin Liévin
Type: User
Bio: Large language models, information retrieval, representation learning and medical applications.
Twitter: valentinlievin
Location: Toronto, Ontario
Name: Valentin Liévin
Type: User
Bio: Large language models, information retrieval, representation learning and medical applications.
Twitter: valentinlievin
Location: Toronto, Ontario
NLP dataset for PyTorch
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Bayesian Data Analysis course at Aalto
Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
One of y first programming project which aims to help pool players using augmented reality (this project is basically just a toolbox for the final project, not the final project
A lightweight library to ease the training and tracking of deep neural networks with PyTorch. Data structures and paradigms.
Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
A simple Android App controlling a BLE arduino module to control an RGB led strip based on the position of the user
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Bayesian Regression and Classification models with deep features
Project developed in the context of the OI-X challenge at DTU, visit the website for more information.
A collection of Tensorflow tutorials focusing on RNN and VAE. Work in progress!
A template for deep generative models
Denoising Diffusion Probabilistic Models
PyTorch implementation of the DQN, Dueling DQN and Double DQN. Real-time Saliency visualisation.
Experiments with GAN, WGAN, WGAN-GP, DC-GAN, cGAN, AC,GAN and pix2pix
Very first project in machine learning for a class (Cognitive modeling)
Poisson problem resolution with both Jacobi and Gauss-Seidel methods (C and OpenMP)
Assignement in High Performance Computing class at DTU
An interface to PyTorch's ignite and model architecture guidelines for fast prototyping
An Android app designed for interval training
Here are some personal python notebooks for different projects.
A simple example of how to use RNNs for classification
My first competition in Kaggle (Also a project for a Data Mining course at KAIST)
Medical reasoning using large language models
A personal mini-project: drawing graph with openGL using the data created from python and networkx using OSC to communicate between components (closed: useless, since I've discovered tools like D3js)
OiX 2016 - Understanding Weather Impact on Beer Sales in Denmark
Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"
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.