Malte Koch (baudcode)

baudcode

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Location:Berlin

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Malte Koch's starred repositories

progressive-action-prediction

[CVPR 2023] Code for action prediction from videos

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opentofu

OpenTofu lets you declaratively manage your cloud infrastructure.

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pykan

Kolmogorov Arnold Networks

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MS-DOS

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

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llm.c

LLM training in simple, raw C/CUDA

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clarity-upscaler

Clarity AI | AI Image Upscaler & Enhancer - free and open-source Magnific Alternative

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ZeroSwot

Pushing the Limits of Zero-shot End-to-End Speech Translation

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qoi-img

Typescript bindings for QOI (QOIxx and qoi-stream), both streaming and normal encoding and decoding

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Picsur

An easy to use, selfhostable image sharing service like Imgur with built in converting

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CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

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LGM

[ECCV 2024] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

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self-discover

Implementation of Google's SELF-DISCOVER

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metavoice-src

Foundational model for human-like, expressive TTS

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urh

Universal Radio Hacker: Investigate Wireless Protocols Like A Boss

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imp

a family of highly capabale yet efficient large multimodal models

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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google-indexing-script

Script to get your site indexed on Google in less than 48 hours

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mamba

The Fast Cross-Platform Package Manager

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chat-rooms

Create a chat room

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wit

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

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datatrove

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

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PhotoMaker

PhotoMaker [CVPR 2024]

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SphereSfM

SfM for sphere images in the ERP format within the framework of ColMap

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ocreeb-mk-2

Modular Macro Keyboard System

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moondream

tiny vision language model

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webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

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