liamcli

randomNAS_release

Code release for paper "Random Search and Reproducibility for NAS"

gaea_release

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

darts_asha

Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."

darts

aws_scripts

HPOlib_fork

nasbench-1shot1

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

sgpt

SGPT: GPT Sentence Embeddings for Semantic Search

auto-sklearn

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch or Tensorflow.

awd_lstm_fork

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

determined

Determined: Deep Learning Training Platform

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

GPT-Demo

GPT Demo with hybrid distributed training

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hpbandster_fork

HPOlib2

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

pachyderm

Data-Centric Pipelines and Data Versioning

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

RoBO

RoBO: a Robust Bayesian Optimization framework

SmartSim

SmartSim Infrastructure Library.

Spearmint

Spearmint Bayesian optimization codebase

tensorflow

Computation using data flow graphs for scalable machine learning

Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.