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The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Schedule-Free Optimization in PyTorch
[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]
[ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection
Co-ordinate transformation (ECEF - LLA) routines in Python
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Code release for ConvNeXt V2 model
A curated list of awesome resources related to the Ada and SPARK programming language
Learned Image Compression Using Autoencoder Architecture
A high-level toolbox for using complex valued neural networks in PyTorch
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
An AI-supported tool for generating ground-truth data for Structured Light Laryngoscopy.
Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Population-based optimization library for parameter fitting and extraction in PyTorch.
An efficient and research-friendly Gaussian Splatting framework described in the CVPR'26 paper "Faster-GS: Analyzing and Improving Gaussian Splatting Optimization"
Exemplary integration of Faster-GS into the original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Exemplary integration of Faster-GS into the original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
PyLayers is a Python platform for Site Specific Radio Propagation Simulation for Evaluating Indoor Localization algorithms using UWB radio signals including Human Indoor Mobility
Differentiable Ray Tracing Toolbox for Radio Propagation Simulations
Wave propagation framework for Python 3. Documentation and examples: https://wave-propagation.readthedocs.io/
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Apply diffusion models for denoising seismograms.
Python HF Raytracing Tool for the Ionosphere