yanndubs Goto Github PK
Name: Yann Dubois
Type: User
Company: Stanford PhD in AI
Bio: Building open AI.
Twitter: yanndubs
Location: Stanford
Blog: yanndubs.github.io
Name: Yann Dubois
Type: User
Company: Stanford PhD in AI
Bio: Building open AI.
Twitter: yanndubs
Location: Stanford
Blog: yanndubs.github.io
links and status of cool gradio demos
Playing Around with JupyterBook
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Experiments for understanding disentanglement in VAE latent representations
Faster algorithms for RNA-folding using the Four-Russians method
Database for game of thrones made for a CPSC 304 project
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Viewing STAT540 homework
Submission to https://pytorch.org/hub/
Hydra is a framework for elegantly configuring complex applications
Visualise european soccer player's data
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
Build interactive, publication-quality documents from Jupyter Notebooks
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Codebase for the i-machine-think project, a modular and fully tested Pytorch implementation for seq2seq models.
Datasets for compositional learning
Some of the machine learning functions I've implemented: for learning purpose
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
Analyze single-cell miRNA sequencing data from HL-60 cells along a 7-day time-course of ATRA treatment.
Missing data visualization module for Python.
Useless project that tries to model the life of different bacterias in a petri dish: for learning purpose
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Experiments for comparing and understanding different neural processes architectures.
Some of the optimisation functions I've implemented: for learning purpose
Code for generating datasets consisting of overlayed images.
A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)
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.