Du Phan

dynestyx. An extension of NumPyro for first-class support of dynamical systems.

giscus. A commenting system powered by GitHub Discussions. :octocat: :speech_balloon: :gem:

vectorbt. The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

backtrader. Python Backtesting library for trading strategies

PyRenew. Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.

kotlin. The Kotlin Programming Language.

typst. A markup-based typesetting system that is powerful and easy to learn.

typst-presentation-minimal-template. Typst

slydst. Create simple static slides with Typst

machine-learning-for-trading. Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

react-native. A framework for building native applications using React

instructor. structured outputs for llms

paperproof. Lean theorem proving interface which feels like pen-and-paper proofs.

ollama. Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

unsloth. Unsloth is a local UI for training and running Kimi K3, Gemma 4, Qwen3.6, DeepSeek, GLM and other models.

torchtune. PyTorch native post-training library

mem0. Universal memory layer for AI Agents

crewAI-examples. A collection of examples that show how to use CrewAI framework to automate workflows.

Prompt-Engineering-Guide. 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

agno. Build, run, and manage agent platforms.

flowMC. Normalizing-flow enhanced sampling package for probabilistic inference in Jax

lean-dojo-mew. Lean

SelfEval-Guided-Decoding. Python

einshape. Python

bayeux. State of the art inference for your bayesian models.

videos. Code for the manim-generated scenes used in 3blue1brown videos

manim-voiceover. Manim plugin for all things voiceover

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

manim-slides. Tool for live presentations using manim

pyro. Deep universal probabilistic programming with Python and PyTorch

Kalman-and-Bayesian-Filters-in-Python. Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

chirho. An experimental language for causal reasoning

grain. Library for reading and processing ML training data.

coix. Inference Combinators in JAX

tfp-causalimpact. Python

t-few. Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

BIG-Bench-Hard. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

pyink. Pyink, pronounced pī-ˈiŋk, is a Python formatter, forked from Black with a few different formatting behaviors.

rich. Rich is a Python library for rich text and beautiful formatting in the terminal.

numpyronodemodels. Python

statsforecast. Lightning ⚡️ fast forecasting with statistical and econometric models.

datasets. A repository of pretty cool datasets that I collected for network science and machine learning research.

galax. Graph Learning with JAX

cascades. Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference, and more.

spatio-temporal-GPs. Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'

parallel-gps. GPFlow based implementation of temporal parallellization of state space GPs

godot-demo-projects. Demonstration and Template Projects

awesome-godot. A curated list of free/libre plugins, scripts and add-ons for Godot

awesome-godot. A curated list of free/libre plugins, scripts and add-ons for Godot

pymdp. A Python implementation of active inference for Markov Decision Processes

rrws. Python

pyroed. Bayesian optimization of discrete sequences

jraph. A Graph Neural Network Library in Jax

celluloid. :movie_camera: Matplotlib animations made easy

ManimML. ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

lightweight_mmm. LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

gtktitlebar. GNOME extension that removes title bar for non-GTK software (when maximized)

ivy. Convert Machine Learning Code Between Frameworks

numpyro. Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

jaxopt. Hardware accelerated, batchable and differentiable optimizers in JAX.

learns-dex.

Pyro-M5-Starter-Kit. Learn Pyro through the M5 forecasting competition

saasbo. SAASBO: a package for high-dimensional bayesian optimization

hierarchical-irm. Probabilistic structure discovery for rich relational systems

beanmachine. A library that allows for inference on probabilistic models

permuton-induced-crp. Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).

dm-haiku. JAX-based neural network library

MLServer. An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

graph-representation-learning-ladder-gamma-variational-autoencoders. Code for AAAI 2019 paper: Graph Representation Learning via Ladder Gamma Variational Autoencoders

millipede. A library for bayesian variable selection

dex-lang. Research language for array processing in the Haskell/ML family

Awesome-Deep-Community-Detection. Deep and conventional community detection related papers, implementations, datasets, and tools.

t5x. Python

SBM-meet-GNN. Implementation of SBM-meet-GNN

pysbm. A Python Package for Stochastic Block Model Inference

CompSalad. My collection of educational resources.

scikit-network. Graph Algorithms

pyvis. Python package for creating and visualizing interactive network graphs.

SGMCMCJax. Lightweight library of stochastic gradient MCMC algorithms written in JAX.

Manim-Tutorials-2021. Python

text-to-text-transfer-transformer. Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

uncertainty-baselines. High-quality implementations of standard and SOTA methods on a variety of tasks.

rethinking-tensorflow-probability. Statistical Rethinking (2nd Ed) with Tensorflow Probability

ohmyzsh. 🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

ptemcee. A parallel-tempered version of emcee.

patma. Pattern Matching

ESBM. Extended stochastic block models with application to criminal networks

leetcode-patterns. A pattern-based approach to learn technical interview questions

jupytext.vim. Vim plugin for editing Jupyter ipynb files via jupytext

vim-repl. Best REPL environment for Vim

COVID19NPISecondWave. Jupyter Notebook

manim. A community-maintained Python framework for creating mathematical animations.

gp_model_zoo. Literature and light wrappers for gaussian process models.

GPJax. Gaussian processes in JAX and Equinox.

matchpy. A library for pattern matching on symbolic expressions in Python.

youtube. This repo will have all the data and codes I have used for my youtube channel

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

contextualized-topic-models. A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

covadapt. Low rank adaptation of covariance matrices for nuts sampling in pymc3

optax. Optax is a gradient processing and optimization library for JAX.

SPFlow. Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

awesome-spn. A structured list of resources about Sum-Product Networks (SPNs)

xhtml2pdf. A library for converting HTML into PDFs using ReportLab

HMCECS. Sample code for HMC-ECS

opt_einsum. ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

autograd-gamma. NotImplementedError: VJP of gammainc wrt argnum 0 not defined

probability. Probabilistic reasoning and statistical analysis in TensorFlow

blackjax. BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

mcx. Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.

mixed_hmc. Python

multi-output-gp-censored-regression. Jupyter Notebook

nbsphinx. :ledger: Sphinx source parser for Jupyter notebooks

dash-sample-apps. Open-source demos hosted on Dash Gallery

jupyter-dash. OBSOLETE - Dash v2.11+ has Jupyter support built in!

cvae. Python

godot-python. Python support for Godot 🐍🐍🐍

calendar-vim. A calendar window for Vim

.tmux. Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍

johnnydep. Display dependency tree of Python distribution

no_plugins. "Slides" and supplemental info from my August 3rd 2016 NYC Vim talk

animation_nodes. Node based visual scripting system designed for motion graphics in Blender.

jaxns. Probabilistic Programming and Nested sampling in JAX

vimgolf. Real Vim ninjas count every keystroke - do you?

hSBM_Topicmodel. Using stochastic block models for topic modeling

awesome-ml-for-cybersecurity. :octocat: Machine Learning for Cyber Security

streamlit. Streamlit — A faster way to build and share data apps.

pygraphon. Python library for working with graphons

ergo. A Python library for integrating model-based and judgmental forecasting

covid. Bayesian modeling of COVID-19

stemr. Fit Stochastic Epidemic Models via Bayesian Data Augmentation

joplin. Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.

altair. Declarative visualization library for Python

IHaskell. A Haskell kernel for the Jupyter project.

vimrc. The ultimate Vim configuration (vimrc)

FastHub. FastHub the ultimate GitHub client for Android.

Street-fighter-A3C-ICM-pytorch. Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

ete. Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.

pyro-api. Generic API for dispatch to Pyro backends.

daft. Render probabilistic graphical models using matplotlib

causalgraphicalmodels. Causal Graphical Models in Python

pgmpy. Python Toolkit for Causal and Probabilistic Reasoning

brmp. Bayesian Regression Models in Pyro

manuskript. A open-source tool for writers

MAX. Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

gym. A toolkit for developing and comparing reinforcement learning algorithms.

BNAF. Pytorch implementation of Block Neural Autoregressive Flow

papers. I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).

large-scale-curiosity. Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

zhusuan. A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

godot. Godot Engine – Multi-platform 2D and 3D game engine

funsor. Functional tensors for probabilistic programming

PyTorch-Reparam-Module. Reparameterize your PyTorch modules

arviz. Exploratory analysis of Bayesian models with Python

minimc. Just a little MCMC

cs228-notes. Course notes for CS228: Probabilistic Graphical Models.

AdaBound. An optimizer that trains as fast as Adam and as good as SGD.

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

autograd. Efficiently computes derivatives of NumPy code.

ELF. ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

gpytorch. A highly efficient implementation of Gaussian Processes in PyTorch

deepAI_paper. Python

hidden-variable. Jupyter Notebook

postgres. Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

seaborn. Statistical data visualization in Python

ipython-tikzmagic. IPython magics for generating figures with TikZ

Riot-Watcher. Simple Python wrapper for the Riot Games API for League of Legends

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

ods. Open Data Science

wordvectors. Pre-trained word vectors of 30+ languages

fast_abs_rl. Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

App-DL. Deep Learning and applications in Startups, CV, NLP

python-lunardate. A Chinese Calendar Library in Pure Python

alphatools. Quantitative finance research tools in Python

practical-vim. Workbook for Practical Vim 2

librosa. Python library for audio and music analysis

snakeviz. An in-browser Python profile viewer

kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

texstudio. TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

fastdtw. A Python implementation of FastDTW

dtw. DTW (Dynamic Time Warping) python module

lxml. The lxml XML toolkit for Python

tacotron2. Tacotron 2 - PyTorch implementation with faster-than-realtime inference

awesome_time_series_in_python. This curated list contains python packages for time series analysis

keras-gp. Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

BayesianOptimization. A Python implementation of global optimization with gaussian processes.

awesome-dash. A curated list of awesome Dash (plotly) resources

candlegp. Gaussian Processes in Pytorch

GPy. Gaussian processes framework in python

obs-studio. OBS Studio - Free and open source software for live streaming and screen recording

catboost. A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

probmods2. probmods 2: electric boogaloo

todo-app. JavaScript

Awesome-CV. :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

python-fire. Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Statistical-Rethinking-with-Python-and-PyMC3. Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

umap. Uniform Manifold Approximation and Projection

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

nikola. A static website and blog generator

plotly.js. Open-source JavaScript charting library behind Plotly and Dash