DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through…
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money…
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series…
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets…
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
A long term short term memory recurrent neural network to predict forex data time series
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or…
3D passive face liveness detection, face detection, face liveness check, face anti-spoofing, face fraudulent check, face spoof detection, face fraud detection…
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Credit card fraud detection through logistic regression, k-means, and deep learning.
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert…
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition…
Sentiment analysis over real-time social media data, rendering live charts to visualise trends
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio…
A data preprocessing package for time series data. Design for machine learning and deep learning.
Public repository by Leefinance.
Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.
Accounting Fraud Detection Using Machine Learning
Retrieve all historical candlestick data from crypto exchange Binance and upload it to Kaggle.
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
We used generative adversarial networks (GANs) to do anomaly detection for time series data.
algorithmic trading using machine learning (AI / ML)
Sentiment Analysis of news on stock prices
HFT Arbitrage EA is A trading system based on a backlog of data feed. HFT Arbitrage EA To work successfully, it needs a faster…
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock…
Deep learning for forecasting company fundamental data
Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization
