Gyczero

ArSarcasm-v2

ArSarcasm-v2 is an extension to the original ArSarcasm dataset. It was used for the shared task on sarcasm detection and sentiment analysis, which is a part of WANLP 2021.

FreeLB

Adversarial Training for Natural Language Understanding

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

nl2bash

Generating bash command from natural language https://arxiv.org/abs/1802.08979

auto-sklearn

Automated Machine Learning with scikit-learn

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

vanilla-rtb

Real Time Bidding (RTB) - Demand Side Platform framework

awesome-rtb

Curated list of awesome Real Time Bidding ( RTB) frameworks, libraries, resources and other related to RTB things

rtbkit

RTBkit is an open-source software package that allows you to create and deploy a Real Time Bidder for display advertising.

oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

cloriSearch

广告检索引擎(针对在线广告设计，支持简单倒排检索、范围检索、LBS检索，持续完善中)

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

dragonfly

An open source python library for scalable Bayesian optimisation.

sigopt-examples

Optimization Examples with SigOpt

CopyTranslator

Foreign language reading and translation assistant based on copy and translate.

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

nevergrad

A Python toolbox for performing gradient-free optimization

KDDCUP_2020_Debiasing_1st_Place

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

TuRBO

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

pySOT

Surrogate Optimization Toolbox for Python

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks