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A MMU system developed by ANNEX Engineering
Tetra Flow MMU (multi material unit) for 3d printers
Minimal reproduction of DeepSeek R1-Zero
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
rezaakb / peft-vit
Forked from bwconrad/vit-finetuneParameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RI…
Python library to manipulate ESC/POS printers
Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
Memory, Attention and Composition (MAC) Network for CLEVR/GQA implemented in PyTorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
A VGG-based perceptual loss function for PyTorch.
Overview of conditional computution and dynamic CNNs for computer vision, with a focus on reducing computational complexity
The official source code for the paper Consensus-Aware Visual-Semantic Embedding for Image-Text Matching (ECCV 2020)
Examples of using Python for Twitter social data mining, using the python-twitter-tools framework.
Ambilight via WiFi. Prismatik plugin to support WLED
Control WS2812B and many more types of digital RGB LEDs with an ESP32 over WiFi!
Kunena Forum - Forum / Bulletin Board / Discussions component for Joomla - This is the 6.x/5.x main development branch. Please do not open issues regarding earlier versions of Kunena
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch