- 💬 Ask me about building algorithms for scientific computing & machine learning.
- 🤝 Know me better here.
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:
Synthesizing and manipulating 2048x1024 images with conditional GANs
Some out-of-the-box hooks for pre-commit
Probabilistic reasoning and statistical analysis in TensorFlow
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
Never use print for debugging again
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Tutorial for Deep Learning Researchers
Aer is a high performance simulator for quantum circuits that includes noise models
A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.
A university quantum algorithms/computation course supplement based on Qiskit
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
A python wrapper for doing ED calculations on many-body systems
QuTiP: Quantum Toolbox in Python
A system for parallel and distributed Python that unifies the ML ecosystem.
Demos starting ray cluster on tpu pod
Turning AML compute into Ray cluster
Pytorch Lightning Distributed Accelerators using Ray
Research using Cirq!
Sample CSV file
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
Simplified implementations of deep learning related works
An educational resource to help anyone learn deep reinforcement learning.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
A powerful and flexible machine learning platform for drug discovery
Training v0.7 results
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.