PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
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TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
- chinese
- curriculum
- diagnostic
- edtech
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
N-D labeled arrays and datasets in Python
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
A python module for scientific analysis of 3D data based on VTK and Numpy
- 3d-graphics
- vtk
- 3d
- mesh
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Biological foundation modeling from molecular to genome scale
Fast NumPy array functions written in C
- c
- python
- numpy
- fast
Cloud-native genomic dataframes and batch computing
- genetics
- vcf
- genomics
- gwas
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Clinical Histopathology Imaging Evaluation Foundation Model
Interactive network visualization in Python and Dash, powered by Cytoscape.js
- plotly-dash
- plotly
- dash
- cytoscape
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
Main yt repository
- data
- visualization
- analysis
- python
Molecular Processing Made Easy.
- python
- molecule
- rdkit
- drug-discovery
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Benchmarking analysis of data integration tools
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.
- artificial-intelligence
- clip
- pathology
- vision-and-language