makiit Goto Github PK

adversarialtraining

assignment2

autodeeplab

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

cem

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off"

coremltools_personal

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

cse291spr21

docker

ell409

Assignment 1

hello-world

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

keras-applications

Reference implementations of popular deep learning models.

learn2learn

A PyTorch Library for Meta-learning Research

makiit.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

myglove

python files to handle data

netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-maml

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

rock_climbing_companion

Rock Climbing Coach Project for CSE 237D

structure-lth

[Preprint] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang.

wgan