x-tabdeveloping's Stars
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
KindXiaoming/pykan
Kolmogorov Arnold Networks
jxnl/instructor
structured outputs for llms
EricLBuehler/mistral.rs
Blazingly fast LLM inference.
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
McGill-NLP/llm2vec
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
ott-jax/ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
narwhals-dev/narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
ponnhide/patchworklib
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
MinishLab/model2vec
Distill a Small Static Model from any Sentence Transformer
pysal/spopt
Spatial Optimization
TimSchopf/KeyphraseVectorizers
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.
experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
centre-for-humanities-computing/DaCy
DaCy: The State of the Art Danish NLP pipeline using SpaCy
arviz-devs/preliz
Exploring and eliciting probability distributions
scikit-adaptation/skada
Domain adaptation toolbox compatible with scikit-learn and pytorch
astro-informatics/harmonic
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
jaxleyverse/jaxley
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
BobXWu/FASTopic
A Fast, Adaptive, Stable, and Transferable Topic Model
adrn/thejoker
A custom Monte Carlo sampler for the (gravitational) two-body problem
explosion/spacy-alignments
💫 A spaCy package for Yohei Tamura's Rust tokenizations library
brj0/nndescent
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
symanto-research/merge-tokenizers
Package to align tokens from different tokenizations.