601.derek73 / python-nameparser
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
- python
- text-processing
- text-parser
- python-module
- cjk
- name-parsing
- +5 more
Ranked by Attention Score: stars gained over the last 30 complete days
601–700 of 1,026 by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
Vision-Language Pathology Foundation Model - Nature Medicine
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Open source remote sensing dataset with benchmarks
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
SoftVC VITS Singing Voice Conversion
stable diffusion webui colab
PredictionIO, a machine learning server for developers and ML engineers.
TranslatedPre-Training with Whole Word Masking for Chinese BERT (Chinese BERT-wwm series models)
TensorFlow-based neural network library
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📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
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Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
Deep neural network to extract intelligent information from invoice documents.
Graph Neural Networks with Keras and Tensorflow 2.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
An offline deep reinforcement learning library
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
OpenMMLab Foundational Library for Training Deep Learning Models
ID3-based implementation of the ML Decision Tree algorithm
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
Upscale an image by a factor of 4, while generating photo-realistic details.
An R package for the Quantitative Analysis of Textual Data
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
Plant phenotyping with image analysis
A Euclidean diffusion model for structure-based drug design.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)
The tested, tool-agnostic AGENTS.md kit — verified templates, a CI linter, and migrators from .cursorrules/CLAUDE.md/Copilot/Windsurf/Cline/Aider.
PyTorch implementations of Generative Adversarial Networks.
Machine learning, in numpy
LAVIS - A One-stop Library for Language-Vision Intelligence
[CVPR 2024] Official repository for "MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model"
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
header only, dependency-free deep learning framework in C++14
Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
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An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
World's first general purpose 3D object detection codebse.
Fullstack SaaS Boilerplate built with tRPC, Fastify and React
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Pretrained model hub for Keras 3.
Self-contained Japanese Morphological Analyzer written in pure Go
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Fast Static Symbol Table (FSST): efficient random-access string compression
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Python library for working with Music Information Retrieval datasets
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
The V Tensor Library
Optimising chemical reactions using machine learning
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
A curated list of awesome cytodata resources https://www.cytodata.org/awesome-cytodata/
Curated List of AI, ML and Deep Learning books
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.
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.
The AI-native browser automation library. Snapshot + ref targeting — born from OpenClaw, built for agents, by agents.
🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.
Think of it as screen-sharing for AI pair programming, but everyone can type.
The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.
Engine-agnostic MCP server shared by Unity-MCP, Godot-MCP and Unreal-MCP
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
End-to-End Object Detection with Transformers
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
DALL·E Mini - Generate images from a text prompt
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
pix2code: Generating Code from a Graphical User Interface Screenshot
general natural language facilities for node
A modern approach for Computer Vision on the web
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Scan, index, and archive all of your paper documents