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Name: Rafael Espericueta
Type: User
Company: University of California, Santa Cruz
Bio: Computer science PhD student at UCSC with a focus in machine learning.
Location: Bakersfield
Name: Rafael Espericueta
Type: User
Company: University of California, Santa Cruz
Bio: Computer science PhD student at UCSC with a focus in machine learning.
Location: Bakersfield
Unet for thoracic images
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
Course materials/Homework materials for the Kadenze Academy course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
code for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Simple encryption program written in Python 2.6, and using a Tkinter GUI. Uses irrational numbers as keys.
Solutions for CS224W Winter 2021 Colab
Public facing notes page
Repository for all the tutorials and codes shared at cv-tricks.com
Repo for the Deep Learning Nanodegree Foundations program.
Keras code and weights files for popular deep learning models.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
DenseNet implementation in Keras
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
EEG microstate analysis
The fastai deep learning library
Repository to find a bug...
Hands-On Generative AI with Python and TensorFlow 2, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Blog with Keras news, tutorials, and demos.
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
A playable implementation of Fully Convolutional Networks with Keras.
Residual networks implementation using Keras-1.0 functional API
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
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.