dingtine

deeplearning-models

A collection of various deep learning architectures, models, and tips

hadoop-scala-spark

TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

AppAgent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

Awesome-of-Long-Tailed-Recognition

A curated list of long-tailed recognition resources.

CoolplaySpark

酷玩 Spark

DILATE

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

ebusiness

group with ding / nino / tsun

encoder_decoder

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

Induction-Network-on-FewRel

An attempt at replicating the Induction Network for FewRel data in Tensorflow

LightCTR

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

Long-Tailed-Recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

LSTNet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

machine-learning

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

SINE

tensorflow

Computation using data flow graphs for scalable machine learning

Time-Series-Forecast-with-Deep-Hybrid-Architecture

Multivariate time-series forecasting with LSTNET and soft-DTW loss

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习