PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- point-cloud
- classification
- segmentation
- neural-network
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
The open source platform for AI-native application development.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Automatically install all Kali linux tools
TranslatedPicACG comic PC client(Windows, Linux, MacOS)
Picard is a cross-platform music tagger powered by the MusicBrainz database
Superduper: End-to-end framework for building custom AI applications and agents.
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw diagrams.
A simple CalDAV (calendar) and CardDAV (contact) server.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
24 channel, 100Msps logic analyzer hardware and software
TranslatedRepo for BenCao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge.
An implementation of the JSON Schema specification for Python
🖥️📱🔔 A utility for sending notifications, on demand and when commands finish.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/