evelinehong / hint-baselinesLinks
☆12Updated 4 years ago
Alternatives and similar repositories for hint-baselines
Users that are interested in hint-baselines are comparing it to the libraries listed below
Sorting:
- Implement the paper "Self-Attention with Relative Position Representations"☆139Updated 4 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆77Updated 4 years ago
- Implementation of the paper "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting", https://arxi…☆19Updated 4 years ago
- A Faster Pytorch Implementation of Multi-Head Self-Attention☆74Updated 3 years ago
- A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".☆143Updated 2 years ago
- My implementation of the gMLP model from the paper "Pay Attention to MLPs".☆24Updated 4 years ago
- Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.☆29Updated 5 years ago
- LSTM and GRU in PyTorch☆264Updated 6 years ago
- Transformer/Transformer-XL/R-Transformer examples and explanations☆26Updated 3 years ago
- ☆42Updated 5 years ago
- Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…☆15Updated 3 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 5 years ago
- This is the PyTorch implementation of TPA-LSTM☆60Updated 5 years ago
- My take on a practical implementation of Linformer for Pytorch.☆421Updated 3 years ago
- About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf☆325Updated last year
- ☆69Updated 3 years ago
- A pytorch &keras implementation and demo of Fastformer.☆190Updated 3 years ago
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆214Updated 3 years ago
- Adversarial Sparse Transformer for Time Series Forecasting☆139Updated 3 years ago
- The repo for reproducing the main results in TSMixer: An all-MLP Architecture for Time Series Forecasting.☆10Updated 2 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆88Updated 3 years ago
- Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models☆50Updated 3 years ago
- ☆42Updated 3 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting☆33Updated 3 years ago
- some basic deep learning models/method for nlp, text classification.☆79Updated 5 years ago
- Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" …☆154Updated 5 years ago
- PyTorch implementation of Diffusion Convolutional Recurrent Neural Network☆51Updated 5 years ago
- Implementation of TAAConvLSTM and SAAConvLSTM used in "Attention Augmented ConvLSTM for Environment Prediction"☆55Updated 3 years ago