Repository Index

Safe Bayesian Optimization

• gaussian-processes
• optimization
• robotics
• reinforcement-learning

DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses

• agent-framework
• agentic-workflow
• aiforscience
• llm-agents

Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

• gnn
• graph-neural-netowrks
• signed-networks
• directed-networks

A tool for cell instance aware segmentation in densely packed 3D volumetric images

• segmentation
• deep-learning
• bioinformatics
• neural-network

Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.

• cheminformatics
• dft-calculations
• automation
• feature

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

• beamforming
• mmwave
• positioning
• 5g

Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0

• aloha
• flow-matching
• icra2026
• jax

Configure Python functions explicitly and safely

• hyperparameters
• machine-learning
• deep-learning
• python3

Axon/Myelin segmentation using Deep Learning

• deep-learning
• machine-learning
• myelin
• axon

TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.

• clip
• ecommerce
• image-retrieval
• image-search

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

Introduction to Deep Learning

Python typing koans to learn type-hints in Python3 using Mypy

• mypy
• type-hints
• koans
• python

Learning cell communication from spatial graphs of cells

• tensorflow
• gnn
• glm
• cvae

Library for machine learning stacking generalization.

• machine-learning

A Codex skill that turns local STEM course materials into a personal Obsidian learning vault, with source-grounded explanations, derivations and practice.

Build and deploy a serverless data pipeline on AWS with no effort.

• aws-cdk
• data-pipeline
• stepfunctions
• glue

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

• feature-engineering
• machine-learning
• feature
• features

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

• feature-engineering
• transformers
• pre-processing
• data-science

A language model that lives in a boot sector

• assembly
• bootsector
• demoscene
• language-model

Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy

• biology
• fluorescence
• image-analysis
• image-processing

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

• malware
• pe-malware
• malware-dataset
• malware-research