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A PyTorch implementation of the Non-local Block, a key component in computer vision models.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
A PyTorch implementation of YOLOv2, a fast and accurate object detection model.
An implementation of the 3D Ken Burns Effect from a single image using PyTorch.
A Python library for a one-shot face swap approach for image and video domains using deep learning.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
Enzyme is a high-performance automatic differentiation library for LLVM and MLIR, enabling efficient machine learning and scientific computing.
A fast and user-friendly runtime for running transformer models like BERT, GPT-2, and others on CPU and GPU.
A simple PyTorch implementation of Generative Adversarial Networks (GANs) for vibe coders exploring AI-powered generative models.
A PyTorch Lightning template that makes it easy to adapt your existing PyTorch code to use the Lightning framework.
A PyTorch implementation of the BiDAF network for question-answering on the SQuAD dataset.
A powerful benchmark for Monte Carlo Tree Search in sequential decision-making scenarios.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
A memory-efficient implementation of the DenseNet deep learning architecture in PyTorch.
A PyTorch implementation of the Improved Training of Wasserstein GANs paper
A PyTorch implementation of the Pyramid Stereo Matching Network (PSMNet) for depth estimation from stereo images.
This repository provides fine-tuning code for the ChatGLM 6B language model and the Alpaca model, enabling developers to customize these AI models for their own use cases.
Example code for custom CUDA operators in PyTorch
A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.
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