raye22's Stars
hiDaDeng/cnsenti
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text
ihmily/DouyinLiveRecorder
可循环值守和多人录制的直播录制软件,支持抖音、TikTok、快手、虎牙、斗鱼、B站、小红书、pandatv、afreecatv、flextv、popkontv、twitcasting、winktv、百度、微博、酷狗、花椒、流星、Twitch等平台直播录制
kaiwang0112006/autoBinning
分箱工具
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
sschnug/pyMMMF
Maximum-Margin Matrix Factorization in Python
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GitHub-HongweiZhang/prediction-flow
Deep-Learning based CTR models implemented by PyTorch
kupuSs/DIEN-pipline
DIEN-pipline implement
QikaiXu/Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
Prayforhanluo/CTR_Algorithm
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)
hidasib/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
alicogintel/SDM
Sequential deep matching model for recommender system at Alibaba
fajieyuan/SIGIR2020_peterrec
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning