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This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
A collection of scripts and notebooks to help you get started quickly.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
AcadHomepage: A Modern and Responsive Academic Personal Homepage
A beautiful, simple, clean, and responsive Jekyll theme for academics
DALL·E Mini - Generate images from a text prompt
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新中国人的核心宗教,核心信念。
Minimalistic Python version of the Linux VERBS API for Infiniband
Scripts to preprocess training and test data and to run fast_align and giza
Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
Conditional Transformer Language Model for Controllable Generation
Trains Transformer model variants. Data isn't shuffled between batches.
LightSeq: A High Performance Library for Sequence Processing and Generation
artmatsak / cnn-dailymail
Forked from becxer/cnn-dailymailCode to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)
Understanding the Difficulty of Training Transformers
Code and data accompanying our ACL 2020 paper, "Unsupervised Domain Clusters in Pretrained Language Models".
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons