calvinmccarter
I'm also @calvinmccarter-at-tempus and @calvinmccarter-at-lightmatter
BigHat BiosciencesBoston, MA
Pinned Repositories
2024
azimuth
General-purpose PKI on Ethereum
condo-adapter
Confounded Domain Adapter
itlumm
kditransform
Kernel density integral transformation: feature preprocessing and univariate clustering
maddness-old
Code for ICML2020 submission
mega-cggm
Fast and scalable methods for estimating sparse conditional Gaussian graphical models
polyexpkde
Fast univariate kernel density estimation with the polynomial-exponential kernel
unmasking-trees
Tabular data imputation and generation via incremental XGBoost unmasking
calvinmccarter's Repositories
calvinmccarter/unmasking-trees
Tabular data imputation and generation via incremental XGBoost unmasking
calvinmccarter/condo-adapter
Confounded Domain Adapter
calvinmccarter/itlumm
calvinmccarter/kditransform
Kernel density integral transformation: feature preprocessing and univariate clustering
calvinmccarter/maddness-old
Code for ICML2020 submission
calvinmccarter/polyexpkde
Fast univariate kernel density estimation with the polynomial-exponential kernel
calvinmccarter/2024
calvinmccarter/azimuth
General-purpose PKI on Ethereum
calvinmccarter/BLISS
Large Scale Search Index
calvinmccarter/bolt
10-100x faster matrix and vector operations.
calvinmccarter/calvinmccarter.github.io
Calvin McCarter
calvinmccarter/deit
Official DeiT repository
calvinmccarter/building-better-benchmarks-blog
Code accompanying our blog post on building better benchmarks for ADME optimization
calvinmccarter/Explainable-Deep-Autoencoder
Explainable autoencoder deciphering key pathways underlying cancer expression patterns
calvinmccarter/ForecastPFN
calvinmccarter/ForestDiffusion
Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
calvinmccarter/idw-attention
Inverse distance-weighted attention learns prototypes in a single-hidden-layer network trained with vanilla cross-entropy loss.
calvinmccarter/JointMDS
Official implementation of Joint Multidimensional Scaling
calvinmccarter/just-large-models
Just large language models. Hackable, with as little abstraction as possible. Done for my own purposes, feel free to rip.
calvinmccarter/mixers
MLP-Mixer and ConvMixer with SAM
calvinmccarter/MLP-Mixer
PyTorch implementation of MLP-Mixer architecture.
calvinmccarter/nanopq
Pure python implementation of product quantization for nearest neighbor search
calvinmccarter/onnx2pytorch
Transform ONNX model to PyTorch representation
calvinmccarter/otalign
Gromov-Wasserstein Alignment of Embeddings
calvinmccarter/pyComBat
pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.
calvinmccarter/pytorch-minimize
Newton and Quasi-Newton optimization with PyTorch
calvinmccarter/SmallDataBenchmarks
Small Dataset Benchmarks on the Dataset of Datasets UCI++
calvinmccarter/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
calvinmccarter/tinyknn
A tiny approximate K-Nearest Neighbour library in Python based on Fast Product Quantization and IVF
calvinmccarter/vdm