ethancaballero Goto Github PK

broken_neural_scaling_laws

Code Release for "Broken Neural Scaling Laws" (BNSL) paper

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

clustering_graphlab_api

codalab-cli

Bundle service and command-line interface for supporting worksheets in CodaLab.

comp-545_project

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

cplusplus-cuda-mnist-neural-network

deep-learning-for-nlp

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

description2code

distribution_augmentation

Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.

domainbed

DomainBed is a suite to test domain generalization algorithms

enas_gan

ethancaballero.github.io

personal website

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ezinstall

One-line install scripts for Torch.

first_stmn

fishergan

gait-cycle-transfer

neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576

generalization-bounds

Computing various measures and generalization bounds on convolutional and fully connected networks

glow-pytorch

PyTorch implementation of Glow

gradient-checkpointing

Make huge neural nets fit in memory

hyperband

Tuning hyperparams fast with Hyperband

ib_irm

ilastik

ilastik-shell, applets, and workflows to string them together.

image-gpt

PyTorch Implementation of OpenAI's Image GPT

image-gpt-clone

image-gpt-mod