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Repository Details

Collection of all language dataset for finetuning LLM

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1

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3

Tabular-data-Winning-Solution

Rank gaussian normalization, Swap noise, Denoised AutoEncoder as feature engineering
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A simplified cross-sectional momentum portfolio and a grid of model parameterizations
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Word2Vec-for-The-Big-Short

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6

Machine-Learning-Python

Code Notebooks for exercise in the book Machine Learning Python
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7

Twitter-Sentiment-Analysis

Natural language processing (NLP) for the sentiment of a particular topic on twitter with Python
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8

Standford-Machine-Learning-Assignment

Classic Machine Learning material from Andrew Ng. Matlab and Octave codes for assignments and optional exercises.
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9

Python-for-Finance

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10

AWD-LSTM-sentiment-classifier

Using a pretrained wikitext language model and its embedding to create a sentiment classifier for IMDB movie review.
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11

EfficientNet

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12

Hong-Kong-Big-Data-Downloader-

A data downloader of Hong Kong Economic indicator. This includes HK Housing price (Centa-City Leading Index), HK GDP, HK Inflation, HSI, HK Unemployment, Chinese housing price, Chinese GDP, Chinese Inflation, CSI300, SP500, US interest, USD:RMB
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13

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Custom made regression, clustering and classifier from scratch enable students and learner to have better understanding of the mechanism and algorithm of the actual classifier. The following classifiers are included in the folder 1. Linear Regression, 2. K-nearest neighbour, 3. Support Vector Machine (SVM), 4. K-mean, 5. Mean-shift
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14

Quantum-Entanglement-on-emotion-during-financial-crisis

By using the peculiar stock price during internet bubble between 2000-2002 and US housing bubble between 2007-2008, we entangle intangible information such as human thought in order to get a better understanding of the financial market as well as analyzing the performance of the trader.
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15

Deep-Neural-Network-from-Udacity

About this Course Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you'll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We'll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. **Note: This is an intermediate to advanced level course offered as part of the Machine Learning Engineer Nanodegree program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.
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16

pretrained-albert-fastai

Integrating huggingface library pretrained gpt2 into fastai
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17

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Automatically chooses the best machine learning algorithm and kernel with genetic algorithm to predict financial data
Python
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18

Udacity-deep-learning

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2
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19

Linear-Support-Vector-Classifier-for-Hong-Kong-Stock-Price

Using Linear Support Vector Classification to analyze individual stock from Hong Kong
Python
2
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20

pretrained-efficientnet-fastai

integrating timm efficientnet into fastai
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21

Zipline-testing

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22

algorithm

introduction to algorithm example
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23

Codewars

Challenge myself on kata, created by the community to strengthen different skills. Master current language of choice, or expand understanding of a new one.
Python
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24

Random-Integers-in-gambling

Random number generator
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25

IBM-AI-Engineering

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26

Python-for-Data-Analysis-

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27

Quantopian-0.916

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28

Genetic-Algorithm-For-Radiation

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29

Python-for-Data-Analysis

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Python
1
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30

Monte-Carlo-Simulation-for-BogleHead

Monte Carlo Simulation for BogleHead. This is a tool for all boglehead in Hong Kong to simulate the future return and risk. I will also include the withholding tax for Nonresident alien.
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31

SNN-with-embeddings-for-Malware-Prediction

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