iFe1er

Tencent Music EntertainmentNo.132 Waihuan East RoadSchool of data and Computer Science, Sun Yat-sen University Guangzhou, Guangdong 510006

Pinned Repositories

2018-CCF-BDCI-China-Unicom-Research-Institute-top2
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
Language:Python0 2 00
2018-KDD-Cup-Top1-Solutions
2018 KDD Cup Top1 Solutions
0 2 00
AlitaNet
AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
Language:Python14 2 04
mua
Sun Yat-sen Univ., CourseBook Version 1.0.0
Language:Python5 3 00
multithread-proxy
Language:Python31 4 019
neutron-basic-book
一本关于Neutron网络基础知识的书。
1 2 00
phkit
phoneme toolkit. 好用的音素处理工具箱，包含中文音素、英文音素、文本转拼音、文本正则化等模块。
Language:Python1 1 01
SMU
Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
Language:Python5 1 20
SMU_pytorch
A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
Language:Python40 1 98
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Language:Python7.5k 178 3682.2k

iFe1er's Repositories

iFe1er/SMU_pytorch
A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
Language:Python40 1 98
iFe1er/AlitaNet
AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
Language:Python14 2 04
iFe1er/SMU
Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
Language:Python5 1 20
iFe1er/phkit
phoneme toolkit. 好用的音素处理工具箱，包含中文音素、英文音素、文本转拼音、文本正则化等模块。
Language:Python1 1 01
iFe1er/2018-CCF-BDCI-China-Unicom-Research-Institute-top2
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
Language:Python0 2 00
iFe1er/advisor
Open-source implementation of Google Vizier for hyper parameters tuning
Language:Jupyter Notebook2 0
iFe1er/Bytedance_ICME2019_challenge_baseline
Bytedance_ICME2019_challenge_baseline
Language:Python2 0
iFe1er/ccf_2022_fxfz
返乡发展预测baseline
Language:Jupyter Notebook1 11
iFe1er/CoordAttention
Code for our CVPR2021 paper coordinate attention
Language:Python1 0
iFe1er/Dashboard
https://firingcalorie.github.io/Dashboard/
Language:HTML2 0
iFe1er/Datasets-for-Recommneder-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
1 0
iFe1er/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Language:Jupyter Notebook0 0
iFe1er/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,NFFM
Language:Python2 0
iFe1er/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Language:Jupyter Notebook1 0
iFe1er/GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
Language:Python1 0
iFe1er/Harmonica
Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
Language:Python2 0
iFe1er/incertae
Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
Language:Jupyter Notebook0 0
iFe1er/lofo-importance
Leave One Feature Out Importance
Language:Python1 0
iFe1er/MakeItTalk
Language:Jupyter Notebook1 0
iFe1er/mtgbmcode
mtgbmcode
Language:C++0 0
iFe1er/MyTT
MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.
Language:Python0 0
iFe1er/openai-proxy
OpenAI/ChatGPT 免翻墙代理
Language:TypeScript0 0
iFe1er/ParallelWaveGAN
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
Language:Jupyter Notebook1 0
iFe1er/python-audio-effects
Apply audio effects such as reverb and EQ directly to audio files or NumPy ndarrays.
Language:Python1 0
iFe1er/Ranger-tensorflow
Radam+lookahead implemented by tensorflow
Language:Python1 0
iFe1er/recommender_pytorch
A recommender system in PyTorch from scratch.
Language:Python2 0
iFe1er/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Language:Python1 0
iFe1er/Server
Provide backend services
Language:Python2 0
iFe1er/Taincheng
Language:Python2 0
iFe1er/talib-document
talib学习 talib中文翻译 talib中文文档
0 0