Du Phan

Statistical Rethinking (2nd ed.) with NumPyro

Statistical Rethinking with PyTorch and Pyro

kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting

research for MIMIC-III dataset

kaggle competition: https://www.kaggle.com/c/two-sigma-financial-modeling

notebooks for self-studying PyTorch

my personal site, powered by nikola

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kaggle competition: https://www.kaggle.com/c/the-nature-conservancy-fisheries-monitoring

notebooks to a series of lectures on machine learning for the labs

my collection of notebooks from issues, pull requests, forum

Probabilistic reasoning and statistical analysis in TensorFlow

Functional analysis + tensors + symbolic algebra

Pyro on Numpy

GitHub Action for building a Nikola site and deploying it to GitHub Pages

A Manim plugin that contains common data structures to create Manimations.

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

Create interactive network graph visualizations.

Research language for array processing in the Haskell/ML family

No description.

:ledger: Sphinx source parser for Jupyter notebooks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Sphinx extension for automatic generation of an example gallery

Nested sampling in JAX

Pyro website

No description.

No description.

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Exploratory analysis of Bayesian models with Python

Scipy library main repository

Deep universal probabilistic programming with Python and PyTorch

IPython Kernel for Jupyter

Portfolio and risk analytics in Python

No description.

Zipline, a Pythonic Algorithmic Trading Library

No description.

contain several app examples such as: chart, upload files, optional tab,...

A collection of various notebook extensions for Jupyter

some examples with the use of pyro (http://pyro.ai/)

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Animation engine for explanatory math videos - python 3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

kaggle competition: https://www.kaggle.com/c/carvana-image-masking-challenge

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

No description.

G2P with Tensorflow

No description.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Scripts/notebooks for The Nature Conservancy's fish classification competition

fast.ai Courses

No description.

Solution to the Outbrain Click Prediction competition

Superset is a data exploration platform designed to be visual, intuitive, and interactive

SLIME inspired tmux integration plugin for Vim

DenseNet implementation in Keras

collection of popular kernels in [kaggle](https://www.kaggle.com/kernels?sortBy=votes&language=Python)

Supervised learning for novelty detection in text

My code for Telstra Network Disruptions Kaggle competition

Models built with TensorFlow

PySpark solution to the KDDCup99

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A TensorFlow implementation of DeepMind's WaveNet paper

A static website and blog generator

practice grid search to the competition https://www.kaggle.com/c/shelter-animal-outcomes

built using Pelican (old version)

my homework's solutions to my TA classes at POSTECH

practice feature engineering to the competition https://www.kaggle.com/c/telstra-recruiting-network

my homework's solutions to the course https://www.coursera.org/learn/ml-regression

A simple Python => MATLAB(R) interface and a matlab_magic for ipython