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abstractive-text-summarizer

Abstractive text summarization using BART.

applicationsofdeepreinforcementlearninginstocktrading

autofis

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

automatic_question_generation

ctr_algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）

damin-tf2

Implement of <Multi-interest Network Based on Double Attention for Click-Through Rate Prediction>

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepposekit

a toolkit for pose estimation using deep learning

deeptables

DeepTables: Deep-learning Toolkit for Tabular data

dien----deep-interest-evolution-network-for-click-through-rate-prediction

An implementation of Paper "Deep Interest Evolution Network for Click-Through Rate Prediction"

drl-agents

research and implementations of Deep RL agents and their applications

ede

Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021 and "Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation" arXiv 2020

evoskeleton

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

fibinet

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction. pytorch implementation

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

finrl_with_fundamental_data

Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by AI4Finance.

gar

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

image-captioning-using-transformers

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

legal-document-summarization-competition

The 1st Solution of Legal Document Summarization Competition

legal-summary

Legal document summarizer using BERT and transformers

lightctr

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

loandefault-prediction

Lending Club Loan data analysis

medical-imaging-semantic-segmentation

This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl

mhformer

This is an official implementation for "MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation".

mtrans

【Arxiv】Accelerated Multi-Modal MR Imaging with Transformers

multiclass-semantic-segmentation-camvid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

mvor

Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.

nlp

We used "Abstractive Text Summarization" approach to identify the important sections, interpret the context and reproduce in a new way. This ensures that the core information is conveyed through the shortest text possible, the sentences in summary are generated, not just extracted from the original text.