Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Code examples and jupyter notebooks for the Cohere Platform

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Building detection from the SpaceNet dataset by using Mask RCNN.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Official code for 🚀 Unsupervised Change Detection of Extreme Events Using ML On-Board 🚀

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Demonstrate how to make a proper python package with importable modules and CLI tools, with an over-simplified downloader.

An Item and Collection extension to provide labeled training data for machine learning models.

An ecosystem of data, models and code pipelines to tackle flooding with ML🌊

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Deep learning applied to georeferenced datasets

Under development ...

A collection of best practice cookiecutter templates for all domains and languages with extensive Github support ⛺

The Leek group guide to data sharing

Code for the meQTL analyses presented in Hawe et al. 2021 Nature Genetics

Efficient algorithms for analyzing DNA methylation data.

job: free Your RStudio Console

This is the development home of the workflow management system Snakemake. For general information, see

reproducible research project template for R using Renv and snakemake with an econ application

DNA methylation analysis notes from Ming Tang

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

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…