Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
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Updated
Jun 1, 2024 - Python
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
scalable molecular simulation
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The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
The official code of the IEEE Access paper Multiple Adverse Weather Removal Using Masked-Based Pre-Training and Dual-Pooling Adaptive Convolution (MPDAC)
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Open standard for machine learning interoperability
Deep Learning Projects and Examples
【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Mobile app for detecting sound events in ambient audio files
A repository for almost every deep learning algorithms
Deep universal probabilistic programming with Python and PyTorch
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 2 months ago