chomd90 Goto Github PK

adversarial-learning-literature

aha

algovision

Differentiable Algorithms and Algorithmic Supervision.

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

blog_codes

conas_release

crypten

A framework for Privacy Preserving Machine Learning

cryptonas

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

delphi

A Cryptographic Inference Service for Neural Networks

extreme_sparse

ESPN: Extreme Sparse Pruned Network

faang-coding-interview-questions

A curated List of Coding Questions Asked in FAANG Interviews

fastbook

Draft of the fastai book

gaea_release

Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

gennas

Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)

google-research

Google Research

grasp

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

hello_world

introml

Python tutorials for introduction to machine learning

invnet

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

mtl-progress-github.io

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

nas-bench-201

NAS-Bench-201 API and Instruction

naslib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

opencheetah

pc-darts

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware