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
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!
A library for scientific machine learning and physics-informed learning
- neural-network
- deep-learning
- scientific-machine-learning
- pinn
N-D labeled arrays and datasets in Python
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Survival analysis in Python
- survival-analysis
- python
- statistics
- data-science
Single-cell analysis in Python. Scales to >100M cells.
- machine-learning
- data-science
- visualize-data
- transcriptomics
A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk
- attack-range
- attack-simulation
- adversary
- simulation
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
Fast NumPy array functions written in C
- c
- python
- numpy
- fast
Cloud-native genomic dataframes and batch computing
- genetics
- vcf
- genomics
- gwas
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
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
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics