autograd — automatic differentiation library for NumPy. Compute exact gradients, Jacobians, Hessians, and higher-order derivatives of Python functions that use NumPy and SciPy. Supports reverse-mode A
Use with AI
Install the MCP server or CLI to instantly fetch Autograd documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/autograd
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) — fast C++ implementation of density-based clustering algorithms in R. Includes DBSCAN, HDBSCAN, OPTICS/OPTICSXi, LOF outlier detec
1 shared topic
Molecular Transformer is an open-source sequence-to-sequence Transformer model (OpenNMT-py) for data-driven chemical reaction prediction and retrosynthesis planning. Trained on USPTO reaction datasets
1 shared topic
Open Data Cube (ODC) is an open-source geospatial data management and analysis framework that indexes Earth observation satellite imagery and gridded datasets into a PostgreSQL catalogue and exposes t
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Stan — probabilistic programming language for Bayesian statistical modeling and high-performance inference. Full Bayesian inference via No-U-Turn Sampler (NUTS/HMC), approximate inference via Automati
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t-SNE (t-distributed Stochastic Neighbor Embedding) for nonlinear dimensionality reduction and visualization of high-dimensional data. Covers Barnes-Hut and exact modes, FIt-SNE/openTSNE interpolation
1 shared topic