sergiopperez Goto Github PK
Name: Sergio Perez
Type: User
Company: NVIDIA
Bio: Accelerating AI at NVIDIA
Twitter: sergiopprz
Location: London
Name: Sergio Perez
Type: User
Company: NVIDIA
Bio: Accelerating AI at NVIDIA
Twitter: sergiopprz
Location: London
Automatic differentiation for linear regression in Tensorflow. Model subclassing, `tf.GradientTape()`, training linear regression model
Classification model for the BBC news archive. Analysis of embedding layer to visualise word impact in classification
Finite-volume schemes for the Cahn-Hilliard equation that unconditionally and discretely satisfy the boundedness of the phase field and the free-energy dissipation. Our scheme is applicable to a variety of free-energy potentials including the Ginzburg-Landau and Flory-Huggins, general wetting boundary conditions accounting for wall free energies, and degenerate mobilities.
Experimenting with Cohere's platform to build NLP applications
ML-based web application using Django. Classification model for Titanic dataset and web application to accept inputs from user and return prediction
A bunch of notebooks taken from PyTorch Geometric: https://pytorch-geometric.readthedocs.io/en/latest/notes/colabs.html
Transcribir podcasts en español y aplicar PLN para resumir y responder preguntas
A brazen two-column theme for Jekyll.
A framework for few-shot evaluation of language models.
Run a t-test to show that university towns have their mean housing prices less affected by recessions. Data preprocessing with pandas, statistical analysis, t-test, hypothesis testing
Train several models and evaluate how effectively they predict instances of fraud in bank transactions. Support vector classification, logisitic regression classifier, grid-search optimization
To predict whether a given building maintenance fine will be paid on time. Models: random forest, gradient boosted decision trees, linear regression optimized with regularization and c parameter
Program for calculating contact angles from an image or video of a sessile drop.
Create a residual network architecture with the model subclassing API from Tensorflow. Application to MNIST dataset
Model subclassing and custom training loops in Tensorflow for the Reuters dataset. Natural language processing and document classification
Text prediction model from Shakespeare's sonnets. Tokenize, pad, model with embedding and stacked RNN, validation and prediction.
Bidirectional LSTM model to forecast a synthetic time series. Adaptive learning rate and Lambda layers to improve training stage
ARMA model to forecast time series. Dickey-Fuller test for stationarity and differencing to remove trend.
Well-balanced finite volume scheme for hydrodynamic equations with a general free energy. Data visualization, scientific computing, temporal evolution of mathematical models from fluid dynamics
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.