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xiaocai506's Projects

mdtvsfa icon mdtvsfa

[official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)

metrics icon metrics

:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on.

micronet icon micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

milvus icon milvus

Milvus -- the world's fastest vector search engine.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mvtec-anomaly-detection icon mvtec-anomaly-detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

p3c icon p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

paddlehub icon paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

pedeps icon pedeps

Cross-platform C library to read data from PE/PE+ files (the format of Windows .exe and .dll files)

piggymetrics icon piggymetrics

Microservice Architecture with Spring Boot, Spring Cloud and Docker

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

py-ios-device icon py-ios-device

A python based Apple instruments protocol,you can get CPU, Memory and other metrics from real iOS devices

pyan icon pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

pytorch.docs icon pytorch.docs

Offline documentation built from official PyTorch release

rav1e icon rav1e

The fastest and safest AV1 encoder.

rtsp-simple-server icon rtsp-simple-server

ready-to-use RTSP / RTMP / HLS server and proxy that allows to read, publish and proxy video and audio streams

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