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⚡ A Fast, Extensible Progress Bar for Python and CLI
Jupyter metapackage for installation, docs and chat
📡 Organized Resources for Deep Learning Researchers and Developers
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Keras Attention Layer (Luong and Bahdanau scores).
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)