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PyTorch Image Models (timm): The Ultimate Collection of Image Encoders
PyTorch Image Models (timm) is an extensive library offering the largest collection of PyTorch image encoders and backbones. It provides a wide array of state-of-the-art models, complete with pretrained weights, training, evaluation, and inference scripts. This makes it an invaluable resource for researchers and developers working with computer vision tasks in PyTorch.
FlashAttention: Fast and Memory-Efficient Exact Attention
FlashAttention is a cutting-edge library from Dao-AILab, designed to provide fast and memory-efficient exact attention for deep learning models. It significantly accelerates transformer training and inference by optimizing memory usage and computational speed. This makes it an essential tool for researchers and developers working with large-scale AI models.
multiresolution-time-series-transformer: Long-term Forecasting with MTST
This repository provides a PyTorch implementation of the Multi-Resolution Time-Series Transformer (MTST) for long-term forecasting. Based on the Zhang et al. (2024) paper, MTST processes temporal data at different resolutions to effectively capture both short-term and long-term patterns. It offers a flexible and robust solution for advanced time series prediction tasks.