Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of research and application papers of (uncertainty) calibration techniques.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
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
Implementation for "Large-scale Pretraining for Visual Dialog" https://arxiv.org/abs/1912.02379
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
A curated list of image captioning and related area resources. :-)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
tf version roberta using google bert source code
Python - 100天从新手到大师
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
A lightweight, scalable, and general framework for visual question answering research
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
⏰ AI conference deadline countdowns
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.