A Simple and Versatile Framework for Object Detection and Instance Recognition
- mxnet
- object-detection
- instance-segmentation
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A Simple and Versatile Framework for Object Detection and Instance Recognition
A fast yet powerful Python Markdown parser with renderers and plugins, fully CommonMark compliant.
Simplifies writing DocBlock comments in Javascript, PHP, CoffeeScript, Actionscript, C & C++
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Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
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A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
Data manipulation and transformation for audio signal processing, powered by PyTorch
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Translateduse cnn recognize captcha by tensorflow. This project targets character-based image captchas, using tensorflow to implement a convolutional neural network for captcha recognition.
POT : Python Optimal Transport
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV — clean API, well-typed, MIT-licensed.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp