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Name: Iván Vallés Pérez
Type: User
Company: Amazon Research
Bio: Deep Learning and Reinforcement Learning expert
Location: Cambridge
Blog: http://www.uv.es/ivape3
Name: Iván Vallés Pérez
Type: User
Company: Amazon Research
Bio: Deep Learning and Reinforcement Learning expert
Location: Cambridge
Blog: http://www.uv.es/ivape3
Empirical study of the modulus as as activation function in computer vision applications
Code for reproducing AdaIN paper in Pytorch and with simple code
Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)
A list of YNAB projects
A +5000-multiclass image classification implementation using Convolutional Neural Networks. This is an implementation for solving the Kaggle CDiscount competition (12 milion images)
A project for solving demand forecast of a medium retailer using a simple Deep Learning model
:mortar_board: Path to a free self-taught education in Computer Science!
RNN-based demand forecast solution. Proof of concept for the "corporación favorita" kaggle competition
An empirical comparison between classical matrix factorization and deep learning assisted matrix factorization for solving collaborative filtering tasks
Exploring Knowledge Distilation techniques on Pretrained Models
GluonTS - Probabilistic Time Series Modeling in Python
Medieval survivor game designed in Godot
Gridworld environments for OpenAI gym.
An OpenAI Gym environment for Inventory Control problems
RNN-Based character-level text classification. Implementation for "Jigsaw toxic comments challenge" competition in Kaggle
Deep Learning for humans
Lottery-ticket hypothesis primer. Simple implementation in Keras and TF.
Old repository holding the code for different machine learning algorithms in Matlab
An automated way of syncing your N26 account transactions to You Need A Budget
A NIPS 2018 conference book scrapper for Python with BeautifulSoup
A sketch of a system for automatically competing in Numer.ai using Machine Learning techniques
My resume, updated, in LaTeX format
Summaries of papers read, starting from early 2020
PhD dissertation sources
A simple Particle Swarm Optimization algorithm implementation from scratch
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
An automated way of syncing your Revolut account transactions to You Need A Budget
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.