mingjiewang0606 Goto Github PK

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2019计算机能力挑战赛，大数据组

2021-sohu-campus-text-matching-competition-baseline

2021 Sohu Campus Text Matching Competition baseline

2021-sohu-text-matching-top2

awesome-multimodal-research

A curated list of Multimodal Related Research.

counterfactuals-for-sentiment-analysis

Code and Data for ACL-21 paper: "Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis"

demo-chinese-text-binary-classification-with-bert

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

eqtransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

fed_mwnet

fedcl_pubic

Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.

food-security

food security

fyp_mphil_uic

hetionet

Hetionet: an integrative network of disease

kaggle-feedback-prize-silver-medal-notebook

kaggle-jane-street-ae-mlp-xgb-top1

1th: Kaggle Jane Street Market Prediction: AE MLP+xgb

kaggle-pppm-silver-medal-notebook

knowledge-tracing-saint

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing -Paper Implementation on "Riiid! Answer Correctness Prediction", Kaggle Competition

l3a_

lcye-attack_reid

Research code that accompanies the paper Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking.

mdc_kis

Research code that accompanies the paper Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning

mingjiewang0606

Config files for my GitHub profile.

mingjiewang0606.github.io

BY Blog ->

mmm

mtmd-public

The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting".

music163-spiders

网易云音乐歌曲评论爬虫

parkfield-lfe-cnn

A CNN to detect LFEs in Parkfield (and beyond)

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

qweqweqwe

sohu_matching_2021

sohu_matching_2021

sql-exercise

Practice with "Real" SQL Problems