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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
mlpack: a fast, header-only C++ machine learning library
A team of long-lived bots for DeepSeek Harness, with main bots, bot-to-bot messages and group chats.
URL routing library for iOS with a simple block-based API
TranslatedDSH Desktop Pet: a small transparent animated desktop pet that is ready to use after installing with a single command line, supports running multiple instances, and lets you configure its size and position as you like; it also has a built-in DIY asset pipeline that lets you create your own custom pet from AI video
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Deep Reinforcement Learning for Keras.
A C++ standalone library for machine learning
A TensorFlow implementation of DeepMind's WaveNet paper
Build Graph Nets in Tensorflow
Open Source Cloud Native Application Protection Platform (CNAPP)
TranslatedBrings the local Wallpaper Engine wallpapers into the DSH web interface: scene wallpapers are rendered in real time with WebGL by the built-in MIT open-source engine WebWallGL (particles / puppet skeletons / SceneScript / audio reactivity / mouse interaction), and if that fails it automatically falls back to an embedded MP4 and the scene's static frame; web wallpapers run in a strict sandbox + the WE API; iOS-style liquid glass UI that is highly customizable, pause when occluded to save power, ffmpeg transcoding with a frame rate cap, system audio spectrum and Now Playing, custom upload and automatic rotation; settings are stored on the host side, with zero token overhead for the agent. Native on all three platforms: Windows / macOS / Linux (the same package, the same command).
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Optimized primitives for collective multi-GPU communication
A PyTorch Library for Accelerating 3D Deep Learning Research
Brings SQL and AI together.
Dark Web OSINT Tool
Image augmentation library in Python for machine learning.
links to conference publications in graph-based deep learning
On-device wake word detection powered by deep learning
Run Keras models in the browser, with GPU support using WebGL
TranslatedOpen sidebar foundation, supports third-party extensions to register new sidebar pages. Built-in file rendering/editing, terminal, side chat, Git, and sub-agent pages.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A collection of important graph embedding, classification and representation learning papers with implementations.