BenjiKCF/algorithm

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Created about 6 years ago
Updated about 6 years ago

BenjiKCF/algorithm

BenjiKCF

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introduction to algorithm example

Neural-Net-with-Financial-Time-Series-Data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

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Superesolution-and-watermark-removal

Using unet and wgan to enhance resolution and remove watermark

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Tabular-data-Winning-Solution

Rank gaussian normalization, Swap noise, Denoised AutoEncoder as feature engineering

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awesome-language-dataset

Collection of all language dataset for finetuning LLM

Signal-frontier-analysis-and-model-parameterizations

A simplified cross-sectional momentum portfolio and a grid of model parameterizations

Word2Vec-for-The-Big-Short

A two-layer neural networks that are trained to reconstruct linguistic contexts of words from Michael Lewis's book, The Big Short

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Machine-Learning-Python

Code Notebooks for exercise in the book Machine Learning Python

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Twitter-Sentiment-Analysis

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

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Standford-Machine-Learning-Assignment

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

Python-for-Finance

This is the Python for finance according to the tutorial series on python programming.net. I modified it for python 2.7.

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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EfficientNet

Implementation of efficientnet in fastai

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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

Machine-Learning-from-scratch

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

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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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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pretrained-albert-fastai

Integrating huggingface library pretrained gpt2 into fastai

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Optimizing-machine-learning-pipelines-using-genetic-programming

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

Udacity-deep-learning

This is the material from Udacity nano degree for deep learning

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

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

pretrained-efficientnet-fastai

integrating timm efficientnet into fastai

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Zipline-testing

Using zipline system from quantopian to backtest stocks, ETF and Bitcoin locally

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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.

Random-Integers-in-gambling

Random number generator

IBM-AI-Engineering

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Python-for-Data-Analysis-

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Quantopian-0.916

quantopian algo trade backtest result

Genetic-Algorithm-For-Radiation

Gamma Radiation Classifier and use Genetic Programming to pick the best Machine Learning model + hyper-parameters FOR US in 40 lines of Python.

Python-for-Data-Analysis

This is the Python for Data Analysis according to the tutorial series on python programming.net. I modified it for python 2.7.

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.

SNN-with-embeddings-for-Malware-Prediction

Self-Normalizing Network with entity embedding to predict malware infection

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