irischang59 Goto Github PK
Name: Iris Chang
Type: User
Bio: Computational materials scientist
Location: San Francisco Bay Area
Name: Iris Chang
Type: User
Bio: Computational materials scientist
Location: San Francisco Bay Area
Content aware image resize library
Free technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning forums.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A replica of the AlphaZero methodology for deep reinforcement learning in Python
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Gemini is a modern LaTex beamerposter theme 🖼
Presentations from H2O meetups & conferences by the H2O.ai team
Tutorials and training material for the H2O Machine Learning Platform
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Includes the source code of the methods which participated in the M4 Competition
Course materials for Joint TCBG / MMBioS Hands-on Workshop on Computational Biophysics
A modern LaTeX Beamer theme
This is my PhD Dissertation in LaTeX uclathes template.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A parallel Monte Carlo ray-tracing code for efficient simulations of secondary electron emission (SEE) in arbitrarily complex geometries under electron irradiation.
Data Science Best Practices with pandas
Deep universal probabilistic programming with Python and PyTorch
A living collection of deep learning problems
A platform to visualize the deep learning process.
Repository for models, descriptions, and software supporting the 2019 Workshop
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.