urnotLeo's Stars
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
MingMTC/HDR
This is a demo code for HDR approach in KDD 2023
dgliu/KDD23_EFIN
Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
conda-forge/miniforge
A conda-forge distribution.
Ibotta/mr_uplift
Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses
HLaboratory/GRFlift
crimx/ext-saladict
🥗 All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
wayfair/pylift
Uplift modeling package.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
mlpanda/DeepLearning_Financial
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
Haixing-Hu/nju-thesis
南京大学学位论文XeLaTeX模板
fulifeng/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
PanJiaChen/vue-element-admin
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin
midas-research/sthan-sr-aaai
fulifeng/Adv-ALSTM
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
microsoft/MSMARCO-Passage-Ranking
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
uvavision/RerankingTransformer
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
microsoft/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.
twistedcubic/attention-rank-collapse
[ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
ZhuiyiTechnology/pretrained-models
Open Language Pre-trained Model Zoo
hemingkx/ChineseNMT
ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer
junfu1115/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
mirkobronzi/bert_reranker
luyug/Reranker
Build Text Rerankers with Deep Language Models
rank2rec/rerank
QingyaoAi/Deep-Listwise-Context-Model-for-Ranking-Refinement
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.