michael200892458's repositories
arxiv2018-xling-sentence-embeddings
Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations
Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
cmake-examples
Useful CMake Examples
concurrentqueue
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
Cplusplus-Concurrency-In-Practice
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
doc-han-att
Hierarchical Attention Networks for Chinese Sentiment Classification
docker-devel-env
Fast, reproducible, and portable software development environments
dssm
DSSM and Multi-View DSSM
faiss
A library for efficient similarity search and clustering of dense vectors.
faiss-java
JNI api for faiss
ivf-hnsw
The code for the current state-of-the-art billion-scale nearest neighbor search system
learning-cmake
learning cmake
models
Models and examples built with TensorFlow
Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
MutilGPU2dCNN
MutilGPU train CNN
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
protobuf
Protocol Buffers - Google's data interchange format
RAKE
A python implementation of the Rapid Automatic Keyword Extraction
sentence2vec
Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma
SIF
sentence embedding by Smooth Inverse Frequency weighting scheme
SSD_Pytorch
support different SSDs and different scale test, support refineDet.
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
tensorflow-font2char2word2sent2doc
TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
ticket-model
利用paddle对门票进行分类