DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
- point-cloud
- deep-learning
- relocalization
- feature-learning
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DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
A tool for automatic phoneme transcription
Optimising chemical reactions using machine learning
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
⚡ Open-source software for deep learning-based digital pathology
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
Coq Protocol Playground with Se(xp)rialization of Internal Structures.
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
Configure Python functions explicitly and safely
Axon/Myelin segmentation using Deep Learning
High performance gradient boosting for Ruby
😃 iOS11 demo application for sentiment polarity analysis.
Library for machine learning stacking generalization.
Modern desktop application (Rust + Tauri v2 + Svelte 5 + Candle (HF)) for communicating with AI models that runs completely locally on your computer. No subscriptions, no data sent to the internet — just you and your personal AI assistant
A simple and functional machine learning library for the Erlang ecosystem
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.
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Translated:book: NYU Machine Learning in Finance Chinese Notes