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A list of awesome papers and resources of recommender system on large language model (LLM).
RSTutorials: A Curated List of Must-read Papers on Recommender System.
A General-purpose Task-parallel Programming System using Modern C++
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Merlion: A Machine Learning Framework for Time Series Intelligence
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Python Implementation of Reinforcement Learning: An Introduction
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
A curated list of resources for Learning with Noisy Labels
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
The most cited deep learning papers
Papers from the computer science community to read and discuss.
Collect awesome best papers from top AI conferences.
links to conference publications in graph-based deep learning
TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured data.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
An Industrial Graph Neural Network Framework
A curated list of awesome responsible machine learning resources.
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction