Ziqun Ye (z7ye)

z7ye

Geek Repo

Company:oracle

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oracle-samples

Ziqun Ye's repositories

oci-data-science-ai-samples

This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.

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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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axolotl

Go ahead and axolotl questions

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Bokeh-Python-Visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

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cocoapi

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

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CS110Notes

1st time TAing for CS110 at Stanford: Principles of Computer Systems? - Stars are appreciated :)

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cs231n.github.io

Public facing notes page

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cs245-as1

Student files for CS245 Programming Assignment 1: In-memory data layout

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dask-1

Parallel computing with task scheduling

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DeepLearningMugenKnock

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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DS_projects

Data-driven projects repo

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ImageProcessing100Wen

「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

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matrix_multiply_quadratic

This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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mlflow

Open source platform for the machine learning lifecycle

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Parallel-Computing-Algorithms

Repo for my Algorithms in parallel and distributed computing class lab

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Parallel-Programming-MultiProcessing-in-Python

Examples of multiprocessing module in python: Matrix Multiplication and Inclusive and Exclusive Scans

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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StanfordCS224N

Natural Language Processing

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zeromq-distributed-matrix-multiplication

A ZeroMQ project for nxn matrix multiplication using distributed computing, with multiple number of clients and workers.

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