lacerbi

lacerbi's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37k3713175.9k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27k286412.2k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python22.5k1276712.1k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15k1133981.4k

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k7016.9k5.8k

• TomSchimansky/CustomTkinter

  A modern and customizable python UI-library based on Tkinter

  Language:Python11.5k1111.4k1.1k

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134882.2k

• spdustin/ChatGPT-AutoExpert

  🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

  Language:JavaScript6.6k8732457

• lucidrains/x-transformers

  A concise but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python4.7k53219404

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k559

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.4k31233214

• arviz-devs/arviz

  Exploratory analysis of Bayesian models with Python

  Language:Python1.6k48860401

• CMA-ES/pycma

  Python implementation of CMA-ES

  Language:Jupyter Notebook1.1k16245178

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python8422949118

• blackjax-devs/blackjax

  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

  Language:Python82113319106

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python7011441107

• sbi-dev/sbi

  Simulation-based inference toolkit

  Language:Python58322614150

• minaskar/zeus

  ⚡️ zeus: Lightning Fast MCMC ⚡️

  Language:Python22792633

• matt-graham/mici

  Manifold Markov chain Monte Carlo methods in Python

  Language:Python21915527

• wesselb/stheno

  Gaussian process modelling in Python

  Language:Python217101718

• acerbilab/vbmc

  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

  Language:MATLAB21612340

• stan-dev/posteriordb

  Database with posteriors of interest for Bayesian inference

  Language:Stan181815436

• acerbilab/pyvbmc

  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

  Language:Python1145126

• mackelab/delfi

  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

  Language:Python71141528

• wesselb/lab

  A generic interface for linear algebra backends

  Language:Python683145

• QMCSoftware/QMCSoftware

  Language:Python601013615

• GailGithub/GAIL_Dev

  GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct. GAIL is created, developed, and maintained by Fred Hickernell (Illinois Institute of Technology), Sou-Cheng Choi (University of Chicago and Argonne National Laboratory), and their collaborators including Yuhan Ding (IIT), Lan Jiang (IIT), and Yizhi Zhang (IIT).

  Language:MATLAB2650120

• PrincetonLIPS/AHGP

  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)

  Language:Python21403

• int-brain-lab/analysis

  Initial repo for behavioral analyses

  Language:Jupyter Notebook103334

• mjarvenpaa/parallel-GP-SL

  Code for the paper "Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations" by Järvenpää M., Gutmann M.U., Vehtari A. and Marttinen P., Bayesian Analysis, 16(1):147-178. Preprint: https://arxiv.org/abs/1905.01252

  Language:MATLAB3200