nJavaheri

get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

LLM101n

LLM101n: Let's build a Storyteller

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

bayesian-algorithm-execution

Bayesian algorithm execution (BAX)

Xopt

Flexible high-level optimization in Python

nbi

Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications

jammy_flows

A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.

coq

Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

PySR

High-Performance Symbolic Regression in Python and Julia

pytorch-iobs

A lightweight implementation of Information-Ordered Bottlenecks (IOBs) in PyTorch.

tau_3mu

cosmopower

Machine Learning - accelerated Bayesian inference

py-pde

Python package for solving partial differential equations using finite differences.

PhiFlow

A differentiable PDE solving framework for machine learning

cvxpylayers

Differentiable convex optimization layers

complexPyTorch

A high-level toolbox for using complex valued neural networks in PyTorch

meep

free finite-difference time-domain (FDTD) software for electromagnetic simulations

cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

pyxem

An open-source Python library for multi-dimensional diffraction microscopy.

hyperspy

Multidimensional data analysis

ai-models-fourcastnetv2

modulus-makani

Massively parallel training of machine-learning based weather and climate models

FDTD

This is a package to perform Finite Difference Time Domain (FDTD) simulations in Python.

Computational_Physics_in_Python

A repository of codes for computational physics in Python.

comp-phys

Computational Physics

ComputationalPhysics300

computational physics class taught at UNLV (Phys300)

numfys

A resource for use of numerical physics with Python, covering many topics in physics.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

modulus-sym

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts