wkvong's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
mlfoundations/open_clip
An open source implementation of CLIP.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
google-deepmind/dnc
A TensorFlow implementation of the Differentiable Neural Computer.
andymatuschak/orbit
Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention
probcomp/BayesDB
A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite
andymatuschak/note-link-janitor
Maintains backlink structure among interlinked Markdown notes
jackroos/VL-BERT
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
probmods/webppl
Probabilistic programming for the web
uwescience/shablona
A template for small scientific python projects
ellisk42/ec
stripe/rainier
Bayesian inference in Scala.
tdhopper/notes-on-dirichlet-processes
:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
danluu/UFLDL-tutorial
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
probcomp/crosscat
A domain-general, Bayesian method for analyzing high-dimensional data tables
NYUCCL/psiTurk
An open platform for science on Amazon Mechanical Turk.
jamesrobertlloyd/gp-structure-search
karpathy/nipspreview
Scripts that generate .html to more easily see NIPS papers
mnielsen/rmnist
Some examples trained on very reduced versions of the MNIST training set
berkeley-cocosci/Wallace
See https://github.com/Dallinger/Dallinger/ for the latest.
piantado/LOTlib
Lanugage of Thought (LOT) models in Python.
wkvong/multimodal-baby
facebookresearch/productive_concept_learning
Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task that requires reasoning about uncertainty and learning compositionally rich and challenging concepts in a low-shot, meta-learning framework.
johnmcdonnell/Rational-Models-of-Categorization
Implements Anderson (1991)'s rational model and a few of its successors.
alexatartaglini/alcove
PyTorch implementation of ALCOVE