Pinned Repositories
AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
drools_spring
规则引擎drools集成springboot
GoodGoodName
好好起名，宝宝起名，三才五格起名，喜用神起名，
lectures
Oxford Deep NLP 2017 course
LLMs_interview_notes
该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题
machine_conf
install bash conf and vim conf by one command
MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
sentence-transformers
Sentence Embeddings with BERT & XLNet(句子向量)
sanerzheng's Repositories
sanerzheng/AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
sanerzheng/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
sanerzheng/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
sanerzheng/drools_spring
规则引擎drools集成springboot
sanerzheng/GoodGoodName
好好起名，宝宝起名，三才五格起名，喜用神起名，
sanerzheng/lectures
Oxford Deep NLP 2017 course
sanerzheng/LLMs_interview_notes
该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题
sanerzheng/machine_conf
install bash conf and vim conf by one command
sanerzheng/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
sanerzheng/sentence-transformers
Sentence Embeddings with BERT & XLNet(句子向量)
sanerzheng/shadowsocks
sanerzheng/tacotron
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
sanerzheng/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
sanerzheng/vimrc
The ultimate Vim configuration: vimrc