Pinned Repositories
broken_neural_scaling_laws
Code Release for "Broken Neural Scaling Laws" (BNSL) paper
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
description2code
FisherGAN
gait-cycle-transfer
neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576
Improved-Dynamic-Memory-Networks-DMN-plus
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
neural-engineers-first-attempt
first attempt at description2code from 2016
paper-notes
ML/DL/RL paper notes
Restricted_Boltzmann_Machine__RBM
Restricted Boltzmann Machine (RBM)
Skip-Thought_Memory_Networks
Question Answering system based on Skip-Thought Memory Networks
ethancaballero's Repositories
ethancaballero/description2code
ethancaballero/broken_neural_scaling_laws
Code Release for "Broken Neural Scaling Laws" (BNSL) paper
ethancaballero/Skip-Thought_Memory_Networks
Question Answering system based on Skip-Thought Memory Networks
ethancaballero/Portfolio
Portfolio of Open-Source Machine Learning Projects I've developed
ethancaballero/codalab-cli
Bundle service and command-line interface for supporting worksheets in CodaLab.
ethancaballero/comp-545_project
ethancaballero/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
ethancaballero/distribution_augmentation
Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
ethancaballero/DomainBed
DomainBed is a suite to test domain generalization algorithms
ethancaballero/ethancaballero.github.io
personal website
ethancaballero/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ethancaballero/glow-pytorch
PyTorch implementation of Glow
ethancaballero/ib_irm
ethancaballero/image-gpt
PyTorch Implementation of OpenAI's Image GPT
ethancaballero/image-gpt-clone
ethancaballero/image-gpt-mod
ethancaballero/kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
ethancaballero/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
ethancaballero/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
ethancaballero/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
ethancaballero/multihead_uncertainty
ethancaballero/myia
Myia prototyping
ethancaballero/myia_benchmarks
ethancaballero/myia_pytorch_examples
ethancaballero/predictive_group_invariance
ethancaballero/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ethancaballero/pytorch-ddpm
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
ethancaballero/REx_code_release
ethancaballero/singularity-containers
ethancaballero/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.