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Name: Rafael Espericueta
Type: User
Company: UCSC
Bio: PhD Student in Computer Science at UCSC
Location: Santa Cruz
Name: Rafael Espericueta
Type: User
Company: UCSC
Bio: PhD Student in Computer Science at UCSC
Location: Santa Cruz
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Course project for UCSC course CMPS 203, Programming Languages.
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Deep Learning with TensorFlow 2 and Keras, published by Packt
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Flax is a neural network library for JAX that is designed for flexibility.
Flowers Dataset from Kaggle
Python code explaining how to display structural and functional fMRI data.
Code to go along with the Grokking Deep Reinforcement Learning book
Specify what you want it to build, the AI asks for clarification, and then builds it.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The data processing pipeline for the Koala chatbot language model
Inference code for LLaMA models
Introduction to Mathematical Computing with Python and Jupyter
Data and code for the paper "A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level" by Drori et al., 2022.
Simultaneous human intracerebral stimulation and HD-EEG: ground-truth for source localization methods - Scripts and usage demonstration
Python package to access a cacophony of neuro-imaging file formats
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook
TensorFlow Tutorials with YouTube Videos
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
A multi-purpose GPU-accelerated open-source suite for brain data visualization
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.