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Languages and Tools:
Name: Jimmy Yao
Type: User
Company: University of California, Berkeley
Bio: Ph.D. @ UCB Math, interested in Computational Mathematics and Deep Learning
Location: Berkeley, CA
Languages and Tools:
Auto parallelization for large-scale neural networks
Ray - A curated list of resources: https://github.com/ray-project/ray
Light weight version of Deep MD written in pytorch
This is the manual for the head start at berkeley research computing cluster
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
VS Code in the browser
Course notes for CS228: Probabilistic Graphical Models.
compiled dash
dash cytoscape
dash interactive graphviz
a package for developing machine learning-based chemically accurate energy and density functional models
Assignments for CS294-112.
Deep Learning Algorithms in Practice
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Flax is a neural network library for JAX that is designed for flexibility.
Gaussian mixture models in PyTorch.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch) and ML systems for the ML lifecycle with an obsessive focus on flexibility and performance.
Swift library to programmatically generate Markdown output and files
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
The official PyTorch implementation for NCSNv2
Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.
Paper reading notes from Kakao Brain's NLP team.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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.