A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
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A PyTorch Library for Accelerating 3D Deep Learning Research
TranslatedDeepAnalyze is the first agentic LLM for autonomous data science. 🎈Your AI data analyst, automatically analyzes large amounts of data and generates professional analysis reports with one click!
3D visualization and mesh analysis for science and engineering
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Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Wallet UI simulation tool for BTC, ETH, SOL, XRP, and 200+ assets. Customize displayed balances in a controlled demo environment with persistent visual settings and screenshot-ready previews. Designed for testing, demonstrations, and UI prototyping without altering actual blockchain balances or transactions.
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Spatial Single Cell Analysis in Python
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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A Python interface to access neuroanatomical atlases
MCP server for spatial transcriptomics analysis through natural language interfaces.