- Boston, Massachusetts
- https://dakota-hawkins.github.io/
- @dakotahawkins20
Stars
R package for community ecologists: popular ordination methods, ecological null models & diversity analysis
Scientific colormaps for python, with only numpy dependency
supervenn: precise and easy-to-read multiple sets visualization in Python
A tool to convert a Wallpaper's color scheme / palette, image to pixel art, color palette extraction, image upsacling with Adversarial Networks and more image processing features
Bilingual Language Model for Protein Sequence and Structure
Virtual whiteboard for sketching hand-drawn like diagrams
Functions for identifying and characterizing continuous developmental trajectories in single-cell data.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Directed evolution of proteins in sequence space with gradients
a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
Scikit-learn compatible library for molecular fingerprints
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
Fit interpretable models. Explain blackbox machine learning.
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Official repository for the ProteinGym benchmarks
Episcanpy: Epigenomics Single Cell Analysis in Python
A tool to find sequencing data and metadata from public databases.
🧬 gget enables efficient querying of genomic reference databases
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
Analyzing and visualizing KEGG information using the grammar of graphics