waltsims

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

LEAP

comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch

python-patterns

A collection of design patterns/idioms in Python

claude-engineer

Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.

dasp-pytorch

Differentiable audio signal processors in PyTorch

enf-min-jax

A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).

pink

Python inverse kinematics based on Pinocchio

Laplace-Neural-Operator

GAPAT

The repository provides code of the paper with the same name as this repository.

deepwave

Wave propagation modules for PyTorch.

delay-and-sum.com

Simulate the spatial impulse response (SIR) of a wave in your browser!

LLM101n

LLM101n: Let's build a Storyteller

pixie

Creates performance portable libraries with embedded source representations.

netket

Machine learning algorithms for many-body quantum systems

dspy

DSPy: The framework for programming—not prompting—foundation models

matmulfreellm

Implementation for MatMul-free LM.

neuraloperator

Learning in infinite dimension with neural operators.

fno4vc

Velocity continuation with Fourier neural operators

PhotoAcoustic.jl

Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.

assembly-tutorial

Programming in assembly language tutorial

sindy-rl

Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

c-style

My favorite C programming practices.

model-explorer

A modern model graph visualizer and debugger

Bend

A massively parallel, high-level programming language

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

pykan

Kolmogorov Arnold Networks

torchtitan

A native PyTorch Library for large model training

tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up