Repository Index

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

• data-engineering
• kafka
• spark
• dbt

This is a repo with links to everything you'd ever want to learn about data engineering

• apachespark
• awesome
• bigdata
• data

🔊 Text-Prompted Generative Audio Model

Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

• funds
• machine-learning
• pytrade
• quantitative-finance

FinRL®: Financial Reinforcement Learning. 🔥

• deep-reinforcement-learning
• drl-trading-agents
• stock-trading
• drl-algorithms

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

• scaled-yolov4
• yolor
• yolov3
• yolov4

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

The Hunting ELK

• hunting
• elasticsearch
• kibana
• logstash

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

• high-frequency-trading
• limit-order-book
• python
• machine-learning

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

• aifinance
• fintech
• llama
• machine-learning

Markdown <=> IPython Notebook

Environment for reinforcement-learning algorithmic trading models

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

• benchmarks
• low-latency
• streaming

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Open source remote sensing dataset with benchmarks

Integrated pipeline for multiplexed image analysis

• multiplexed-imaging
• python

Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)

• moloch
• suricata
• monitoring
• nsm

Docker container for Kafka - Spark Streaming - Cassandra

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

• big-data
• bigdata
• spark
• spark-sql

Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.

• notebooks
• pyspark-notebook
• juypter-notebook
• spark

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network

Slides and materials for various talks I've given

UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.

• benchmark
• bioinformatics
• cheminformatics
• computational-chemistry

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.