bnicenboim

bnicenboim's Stars

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go104k6055.3k8.3k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.3k417694.3k

• karpathy/nanoGPT

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

  Language:Python38.1k3803206.1k

• abraunegg/onedrive

  OneDrive Client for Linux

  Language:D10.3k1101.2k870

• SebKrantz/collapse

  Advanced and Fast Data Transformation in R

  Language:C666923835

• sbi-dev/sbi

  Simulation-based inference toolkit

  Language:Python61020631154

• stefanradev93/BayesFlow

  A Python library for amortized Bayesian workflows using generative neural networks.

  Language:Python347206950

• vincentarelbundock/Rdatasets

  A collection of datasets originally distributed in R packages

  Language:HTML328837437

• freckletonj/uniteai

  Your AI Stack in Your Editor

  Language:Python2981289

• stan-dev/cmdstan

  CmdStan, the command line interface to Stan

  Language:C++2123766893

• gpoore/text2qti

  Create quizzes in QTI format for Canvas from Markdown-based plain text

  Language:Python185196366

• quarto-dev/quarto-emacs

  An emacs mode for quarto: https://quarto.org

  Language:Emacs Lisp135141914

• daranzolin/rcanvas

  R Client for Canvas LMS API

  Language:R92193843

• atusy/minidown

  Create simple yet powerful html documents with light weight CSS frameworks.

  Language:CSS794376

• MilesMcBain/esscss

  This repository collects links to ESS configurations shared by #rstats community members.

  59608

• coolbutuseless/rllama

  Minimal R wrapper for llama.cpp

  Language:C55844

• konstantinos-p/Bayesian-Neural-Networks-Reading-List

  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

  51204

• hsbadr/bayesian

  Bindings for Bayesian TidyModels

  Language:R445163

• burakbayramli/emacs-jupyter

  emacs plug-in to run python code inside tex or markdown buffer

  Language:Python33303

• andrjohns/StanEstimators

  Estimate Parameters for Arbitrary R Functions using 'Stan'

  Language:C++242181

• bayesianops/gpt-tutorial

  Language:Stan24315

• kemacdonald/cogsci2016

  R package for creating a reproducible CogSci submission

  Language:TeX242711

• stan-dev/stancon2023

  Materials for StanCon 2023

  Language:Jupyter Notebook231023

• bnicenboim/eeguana

  A package for manipulating EEG data in R.

  Language:R2251139

• mackelab/mnle-for-ddms

  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)

  Language:Jupyter Notebook17446

• venpopov/bmm

  An R package for easy and flexible Bayesian Measurement Modeling

  Language:R1221283

• AlexanderFengler/LANfactory

  Package to Train LANs (Likelihood approximation networks)

  Language:Jupyter Notebook11673

• dmuck/redding-stan

  ReddingStan smuggles log probabilities and gradients out of Stan models

  Language:C++83210

• vusaverse/vvcanvas

  Canvas lms api functions

  Language:R7282

• r-forge/exams

  Read-only mirror of "exams" from r-forge SVN.

  Language:HTML1101