quietwoods Goto Github PK

recsys_faiss

一个基于 fasttext + faiss 的商品内容相关推荐实现，nginx+uwsgi+flask / gunicorn+uvicorn+fastapi 提供api查询接口，增加Spark实现 Ansj+Word2vec+LSH+Phoenix

retext

ReText: Simple but powerful editor for Markdown and reStructuredText

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

rnn_text_classify

Text classification using LSTM

rouge

A full Python Implementation of the ROUGE Metric (not a wrapper)

s2r-depthnet

scrapy-redis

Redis-based components for Scrapy.

second.pytorch

SECOND for KITTI/NuScenes object detection

segformer

Official PyTorch implementation of SegFormer

senet-pytorch

sentence-similarity

seqmatchseq

slambook2

edition 2 of the slambook

soft-nms

Object Detection

ssr-net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

surface-defect-detection

缺陷检测文献记录

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

taobao-information-collector

Crawl Taobao Commodity Page Information

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tensorflow_object_detect_api_inference

text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

textrank4zh

:deciduous_tree:从中文文本中自动提取关键词和摘要

tfrecord-viewer

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

tnn_demo

🍉 移动端TNN部署学习笔记，支持Android与iOS。

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

tutorial-image-and-multiple-bounding-boxes-augmentation-for-deep-learning-in-4-steps

twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer