DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.
Algorithmic trading using machine learning.
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data…
Machine learning model for Credit Card fraud detection
Magento Extension Directory 1> Themes Switcher 2> Default Shipping On Cart 3> Upshare 4> Product Image Optimizer 5> Idealo Product Export 6> magento Google…
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
Pytorch implementation of automatic music transcription method that uses a two-level hierarchical frequency-time Transformer architecture (hFT-Transformer).
Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short…
DynamicSocialNetworkFraudDetection is a project focused on financial fraud detection in dynamic social networks using graph neural networks. The goal of this…
Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an…
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives…
FX system trade simulation programs using machine learning methods
Neural Network for HFT-trading [experimental]
Tuning XGBoost hyper-parameters with Simulated Annealing
The PyTorch implementation for "BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection"
This is the source code for the Credit Card Fraud Detection Project in Machine Learning.
Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.
High frequency AI based algorithmic trading module.
Trading Server for advanced orders, HFT, AI trading via the CryptoControl Terminal
Price Prediction with Machine Learning Models (practicum project at CME group)
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by…
A 10-K FInancial Report is a comprehensive report which must be filed annually by all publicly traded companies about its financial performance. These reports…
Implementation of Reinforcement Learning in Pair Trading
Former repository of ML course. Redirect link included
Using NLP to find and extract specific information from long, unstructured documents
NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values for companies from SEC…
Based on a Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed…
inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses…
curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem…
Deep learning for finance Predict volume of bonds
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with . Homomorphic Encryptions allow performing operations such as addition and…
Return performance and mutual fund selection
Please visit for more information on public projects that have made it into the subscription product. If you already have a corporate sponsor, we…
Collections of news/articles on various topics including quant trading and machine learning. Some articles are from and
repo for book with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e.…
