RubinLiao

RubinLiao

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RubinLiao's repositories

Oolong

This branch is developed for deep face recognition

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AICamera

Demonstration of using Caffe2 inside an Android application.

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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celeb-detection-oss

GIPHY's Open-Source Celebrity Detection Deep Learning Model

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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DeepFaceLab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

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git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

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HElib

An Implementation of homomorphic encryption

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ibex

Ibex is a small 32 bit RISC-V CPU core (RV32IMC/EMC) with a two stage pipeline, previously known as zero-riscy.

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incubator-echarts

A powerful, interactive charting and visualization library for browser

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jetbot

An educational AI robot based on NVIDIA Jetson Nano.

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keras-preprocessing

Utilities for working with image data, text data, and sequence data.

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libra

Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people.

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M2Det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

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mmdetection

Open MMLab Detection Toolbox

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morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

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opentitan

OpenTitan: Open source silicon root of trust

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protobuf

Protocol Buffers - Google's data interchange format

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pwc

Papers with code. Sorted by stars. Updated weekly.

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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StockSharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).

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strategies

quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)

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the-gan-zoo

A list of all named GANs!

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vision

Datasets, Transforms and Models specific to Computer Vision

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Whitenet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

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wuhan2020

武汉新型冠状病毒防疫信息收集平台

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