saltwater-tensor's repositories
med-deadend
Code for the Medical Deadend Paper at NeurIPS 2021
advertorch
A Toolbox for Adversarial Robustness Research
autograd
Efficiently computes derivatives of numpy code.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
BrainSpace
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
copilot-docs
Documentation for GitHub Copilot
covid19-forecast-hub
Projections of COVID-19, in standardized format
dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
deepxde
A library for scientific machine learning and physics-informed learning
FeatureSaliencyHMM
Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)
HMM-MAR
Toolbox for segmentation and characterisation of transient connectivity
hmnlica
Hidden Markov Nonlinear ICA
hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
llm.c
LLM training in simple, raw C/CUDA
manim
A community-maintained Python framework for creating mathematical animations.
meg_snip_tools
helper functions for meg research
MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
open-interpreter
A natural language interface for computers
osl-dynamics
Methods for studying dynamic functional brain activity in neuroimaging data.
prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
sonnet
TensorFlow-based neural network library
ssm
Bayesian learning and inference for state space models
stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.