An agentic skills framework & software development methodology that works.
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An agentic skills framework & software development methodology that works.
Breakthrough Method for Agile Ai Driven Development
AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
PyTorch code and models for the DINOv2 self-supervised learning method.
手写实现李航《统计学习方法》书中全部算法
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
High-performance TensorFlow library for quantitative finance.
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Official Repository for the Uni-Mol Series Methods
C++ library for solving large sparse linear systems with algebraic multigrid method
Android Input Method Editor (IME) based on Whisper
Numerical linear algebra software package
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A collection of deep learning based methods for HDR image synthesis
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
免選字的注音輸入法:在本機用 Transformer 看前文選字。支援 Linux(Fcitx5/IBus)、macOS、Windows。
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
A TensorFlow implementation of the Mnemonic Descent Method.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.