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Name: Yi Liu (刘奕）

Type: User

Yi Liu (刘奕）'s Projects

ai-mdp

Decision under uncertainty using Markov Decision Process

ai-rrt-motion-planning

Using rapidly exploring random tree to solve high-dimension motion planning problems

ai-uniform-cost-search

java, discrete map search, uniform cost search algorithm

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

c-linux

linux c programming, threads, processes and synchronization in linux

embedded-sys-csse3010

Embedded system design using C language on stm32 development board

euler

A distributed graph deep learning framework.

eventforecast

Time series prediction and text analysis using Keras LSTM, plus clustering, association rules mining

keras-gan

Keras implementations of Generative Adversarial Networks.

lark

LAnguage Representations Kit

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

matlab-simulink

Matlab programs and Simulink models

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

neo4j-graph-algorithms

Efficient Graph Algorithms for Neo4j

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

neural-network-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using Keras on top of Tensor Flow

onnx-tensorflow

Tensorflow Backend for ONNX

pyner

Python interface to the Stanford Named Entity Recognizer

python-rtree

Implement rtree range queries and nearest neighbour queries

sentiment-analysis-keras-conv

Using Convolutional Neural Net for Sentiment Analysis

spark

Apache Spark

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

thesis

Deep Learning, LSTM, NER

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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