clabrugere Goto Github PK
Name: Clément
Type: User
Bio: Senior Data Scientist passionate about machine learning
Name: Clément
Type: User
Bio: Senior Data Scientist passionate about machine learning
Byte pair encoding tokenizer as used in some large language models.
Implementation of some state-of-the-art deep learning architectures for CTR prediction tasks, both in Pytorch and Tensorflow
Fast implementation of Dynamic Time Warping algorithm using numba
Example of a Dash application applied to e-commerce data to represent key metrics in the form of an interactive dashboard
Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Example of a fully packaged ML model in a Docker image and exposed as a REST API using FastAPI framework
Implements SOTA architecture for CTR predictions tasks, both in Pytorch and Tensorflow
Some strategies of hierarchical time series forecasting in the context of the M5 competition hosted on Kaggle
Tensorflow implementation of three architectures for multi-task learning, a paradigm to learn different prediction tasks jointly using one model
10 or so machine learning algorithms implemented using Numpy only
Implementation of the Wide-ResNet architecture in Pytorch, as described in the original paper and used on a plant's disease image classification problem
Streamlit application to optimally re-balance a portfolio given a target allocation, current positions and market prices
Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.
Simple and efficient way of performing deep ensembling to improve robustness as well as estimate uncertainty
Implements a LLM similar to Meta's Llama 2 from the ground up in PyTorch, for educational purposes.
Implements VICReg, NT-Xent and DCL losses for contrastive self-supervised learning to generate semantically meaningful representations of images without labels.
Custom component in Typescript and Python for multipage navigation in Streamlit applications
cookiecutter template for standard data science and machine learning projects in python.
WIP - Web application to optimally rebalance a portfolio (greedily) powered by Svelte
Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
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.