Showing 601-620 of 1,001 projects
A PyTorch-based library for generating 3D objects from 2D user inputs using pix2pix-style GAN models.
A comprehensive library of PyTorch tutorials and best practices for deep learning and machine learning developers.
Differentiable SDE solvers with GPU support and sensitivity analysis
Official PyTorch implementation of TokenFlow, a novel diffusion-based method for consistent video editing presented at ICLR 2024.
A PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Clean PyTorch implementations of imitation and reward learning algorithms for AI/ML developers.
This is the source code for a PyTorch implementation of the U-Net model, which can be used to train custom models.
A PyTorch-based toolkit for knowledge distillation in natural language processing tasks.
TransGAN is a Python implementation of a GAN model using two pure transformers, suitable for vibe coders and AI tool developers.
A self-supervised video representation learning model for video understanding tasks.
Graph4nlp is a library for easy use of Graph Neural Networks for Natural Language Processing (NLP) tasks.
A deep learning library for maximal update parametrization, useful for AI-powered coding tools.
A collection of state-of-the-art video and single-image super-resolution architectures in TensorFlow.
A trainable PyTorch reproduction of the AlphaFold 3 protein structure prediction model.
A deep learning-based image denoising library that can handle a variety of denoising tasks like JPEG deblocking and super-resolution.
A PyTorch implementation of the YOLOv4 object detection model with support for various attention mechanisms and mobile models.
A collection of machine learning algorithms for edge devices developed by Microsoft Research India.
A quickstart and benchmark for PyTorch distributed training, useful for ML/AI developers.
An open-source toolbox and benchmark for model compression and acceleration in PyTorch.
A deep learning library for head pose estimation using PyTorch, useful for computer vision applications.
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