furui1997

furui1997's Stars

• meta-llama/llama

  Inference code for Llama models

  Language:Python54.3k9.3k

• SiriusXT/Zotero-Scholar-Rank

  Zotero显示CCF分区，JCR分区，影响因子, 中科院分区。

  Language:Python12111

• agrubertx/Data-Driven-ROM

  An implementation of the algorithms in "A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling".

  Language:Jupyter Notebook51

• omniscientoctopus/Physics-Informed-Neural-Networks

  Investigating PINNs

  Language:Jupyter Notebook446121

• artur-deluca/landscapeviz

  Visualizing the the loss landscape of Fully-Connected Neural Networks

  Language:Python4023

• joeat1/GNN_note

  图神经网络整理

  51376

• josephbakarji/deep-delay-autoencoder

  Discovers high dimensional models from 1D data using deep delay autoencoders

  Language:Jupyter Notebook276

• archtaurus/pysnake

  Python贪吃蛇游戏

  Language:Python7029

• AIStream-Peelout/flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  Language:Python2k288

• FGiuliari/Trajectory-Transformer

  Code for "Transformer Networks for Trajectory Forecasting"

  Language:Python344108

• lsdefine/attention-is-all-you-need-keras

  A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python702190

• CyberZHG/keras-transformer

  Transformer implemented in Keras

  Language:Python36896

• kpot/keras-transformer

  Keras library for building (Universal) Transformers, facilitating BERT and GPT models

  Language:Python530140

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.6k2.8k

• PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

  Language:Python51991

• LiamMaclean216/Pytorch-Transfomer

  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

  Language:Jupyter Notebook30561

• zhykoties/TimeSeries

  Implementation of deep learning models for time series in PyTorch.

  Language:Python36797

• ghsama/ConvTransformerTimeSeries

  Convolutional Transformer for time series

  Language:Python26253

• Ajax0564/Timeseries

  Timeseries

  Language:Python51

• Emmanuel-R8/Time_Series_Transformers

  Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.

  Language:Python289

• oliverguhr/transformer-time-series-prediction

  proof of concept for a transformer-based time series prediction model

  Language:Python1.2k235

• LongxingTan/Time-series-prediction

  tfts: Time Series Deep Learning Models in TensorFlow

  Language:Python810162

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k675

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python33884

• farizrahman4u/seq2seq

  Sequence to Sequence Learning with Keras

  Language:Python3.2k848

• jacoxu/encoder_decoder

  Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

  Language:Python277127

• FluidityProject/fluidity

  Fluidity

  Language:Fortran361113

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.3k1.2k

• Naresh1318/Adversarial_Autoencoder

  A wizard's guide to Adversarial Autoencoders

  Language:Python430120

• fuxuemingzhu/MovieLens-Recommender

  A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

  Language:Python18679