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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 TensorFlowSuperesolution-and-watermark-removal
Using unet and wgan to enhance resolution and remove watermarkTabular-data-Winning-Solution
Rank gaussian normalization, Swap noise, Denoised AutoEncoder as feature engineeringawesome-language-dataset
Collection of all language dataset for finetuning LLMSignal-frontier-analysis-and-model-parameterizations
A simplified cross-sectional momentum portfolio and a grid of model parameterizationsWord2Vec-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 ShortMachine-Learning-Python
Code Notebooks for exercise in the book Machine Learning PythonTwitter-Sentiment-Analysis
Natural language processing (NLP) for the sentiment of a particular topic on twitter with PythonStandford-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.EfficientNet
Implementation of efficientnet in fastaiHong-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:RMBMachine-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-shiftQuantum-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.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.pretrained-albert-fastai
Integrating huggingface library pretrained gpt2 into fastaiOptimizing-machine-learning-pipelines-using-genetic-programming
Automatically chooses the best machine learning algorithm and kernel with genetic algorithm to predict financial dataUdacity-deep-learning
This is the material from Udacity nano degree for deep learningLinear-Support-Vector-Classifier-for-Hong-Kong-Stock-Price
Using Linear Support Vector Classification to analyze individual stock from Hong Kongpretrained-efficientnet-fastai
integrating timm efficientnet into fastaiZipline-testing
Using zipline system from quantopian to backtest stocks, ETF and Bitcoin locallyalgorithm
introduction to algorithm exampleCodewars
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 generatorIBM-AI-Engineering
Python-for-Data-Analysis-
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPythonGenetic-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 infectionLove Open Source and this site? Check out how you can help us