Discover BenjiKCF/Python-for-Finance Open Source project

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BenjiKCF

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

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

Jupyter Notebook

755

Superesolution-and-watermark-removal

Using unet and wgan to enhance resolution and remove watermark

Jupyter Notebook

Tabular-data-Winning-Solution

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

Jupyter Notebook

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

Python

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

Jupyter Notebook

Machine-Learning-Python

Code Notebooks for exercise in the book Machine Learning Python

Jupyter Notebook

Twitter-Sentiment-Analysis

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

Jupyter Notebook

Standford-Machine-Learning-Assignment

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

MATLAB

AWD-LSTM-sentiment-classifier

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

Jupyter Notebook

EfficientNet

Implementation of efficientnet in fastai

Jupyter Notebook

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

HTML

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

Python

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.

Jupyter Notebook

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.

Jupyter Notebook

pretrained-albert-fastai

Integrating huggingface library pretrained gpt2 into fastai

Jupyter Notebook

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

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

Python

Udacity-deep-learning

This is the material from Udacity nano degree for deep learning

Jupyter Notebook

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

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

Python

pretrained-efficientnet-fastai

integrating timm efficientnet into fastai

Jupyter Notebook

Zipline-testing

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

Jupyter Notebook

algorithm

introduction to algorithm example

Python

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

Random-Integers-in-gambling

Random number generator

Python

IBM-AI-Engineering

Jupyter Notebook

Python-for-Data-Analysis-

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

Jupyter Notebook

Quantopian-0.916

quantopian algo trade backtest result

Python

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

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.

Python

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.

Python

SNN-with-embeddings-for-Malware-Prediction

Self-Normalizing Network with entity embedding to predict malware infection

Jupyter Notebook

BenjiKCF/Python-for-Finance

BenjiKCF

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