Axon/Myelin segmentation using Deep Learning
- deep-learning
- machine-learning
- myelin
- axon
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Axon/Myelin segmentation using Deep Learning
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
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
Learning cell communication from spatial graphs of cells
Library for machine learning stacking generalization.
Build and deploy a serverless data pipeline on AWS with no effort.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
A Codex skill that turns local STEM course materials into a personal Obsidian learning vault, with source-grounded explanations, derivations and practice.
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
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.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Effects of packers on machine-learning-based malware classifiers that use only static analysis
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
:mega: Python library for audio augmentation
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Converts spoken words into text form.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Unsupervised Image to Image Translation with Generative Adversarial Networks