MachineLP's repositories

Tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

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TextMatch

QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)

CodeFun

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

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OCR_Keras

OCR;文本检测、文本识别(cnn+ctc、crnn+ctc)。

train_arch

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

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PyTorch_image_classifier

Image classification: efficientnet/resnest/seresnext/.....

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QDServing

ml模型分布式服务部署:grpc,flask;docker

Spark-

Spark学习笔记

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Pytorch_multi_task_classifier

multi-task classifier

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py_workSpace

MachineLP的工具包

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qa-corpus-zh

问答语料库整理

PyTorch_video_classifier

video recognition

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3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

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3D-Tracking-MVS

3D position tracking for soccer players with multi-camera videos

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deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

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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.

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dl_inference

通用深度学习推理服务,可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

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FastMOT

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

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geektime-ELK

ELK Training

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iVisual

基于AVFoundation的视频贴纸、特效库

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mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

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narya

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.

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pycorrector

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

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PyTorch_ONNX_TensorRT

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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