Iris Chang's repositories
M4-methods
Includes the source code of the methods which participated in the M4 Competition
parallelSEE
A parallel Monte Carlo ray-tracing code for efficient simulations of secondary electron emission (SEE) in arbitrarily complex geometries under electron irradiation.
requests-for-research
A living collection of deep learning problems
caire
Content aware image resize library
computerscience
Free technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning forums.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
gemini
Gemini is a modern LaTex beamerposter theme 🖼
h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
MMBioS2019
Course materials for Joint TCBG / MMBioS Hands-on Workshop on Computational Biophysics
mtheme
A modern LaTeX Beamer theme
My-UCLA-Dissertation
This is my PhD Dissertation in LaTeX uclathes template.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
pycon-2019-tutorial
Data Science Best Practices with pandas
pyro
Deep universal probabilistic programming with Python and PyTorch
VisualDL
A platform to visualize the deep learning process.
Workshop_2019
Repository for models, descriptions, and software supporting the 2019 Workshop