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A PyTorch-based object detection library with a Receptive Field Block Network for fast and accurate performance.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
Fast, modular reference implementation of Semantic Segmentation algorithms in PyTorch for vibe coders.
Code for the Lovรกsz-Softmax loss, a loss function for image segmentation using neural networks.
A flexible package for multimodal deep learning to combine tabular, text, and image data using Wide and Deep models in PyTorch.
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
This repository provides code and models for large-scale computer vision research projects using AI tools.
A collective communications library with various primitives for multi-machine training.
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
Korean BERT pre-trained model for natural language processing tasks in the Korean language.
This repository contains code examples and notes for learning the PyTorch deep learning library.
A JavaScript tool for calculating token/s and GPU memory requirements for large language models like LLaMa.
This is a best practice deep learning project template architecture for vibe coders.
A web app to generate template code for machine learning projects with popular frameworks like PyTorch and TensorFlow.
A PyTorch library for semantic segmentation, a computer vision task to classify each pixel in an image.
Realtime Multi-Person Pose Estimation using PyTorch
An open-source framework for building internet-scale neural networks with a focus on decentralization and AI tools.
Open-source Python library for person re-identification using deep learning and metric learning.
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