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dlinear

This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

entity-embedding-rossmann

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai1

v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.

fmpytorch

A PyTorch implementation of a Factorization Machine module in cython.

fooltrader

trade as a fool

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

gpt2

Implement of openai gpt2

gpt2-chinese

中文的GPT2模型训练代码，基于Pytorch-Transformers

hierarchical-attention-based-recurrent-highway-networks-for-time-series-prediction

Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685

highway-transformer

[ACL‘20] Highway Transformer demo code.

informer2020

The GitHub repository for the paper accepted by AAAI 2021.

kaggle-competition-favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

kaggle-web-traffic

1st place solution

kaggle_criteo_ctr_challenge-

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。[libffm libfm tensorflow deepFM]

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

libfm_python

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

neural-network-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using Keras on top of Tensor Flow

nezha_chinese_pytorch

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

nips.cocob.pytorch

PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nonstationary_transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

opennmt-py

Open Source Neural Machine Translation in PyTorch

optimus

Optimus: the first large-scale pre-trained VAE language model

poda

Code for EMNLP 2019 paper "Denoising based Sequence-to-Sequence Pre-training for Text Generation"