Collection of machine learning related notebooks to share.

Last update: Dec 22, 2022

Overview

ML_Notebooks

Collection of machine learning related notebooks to share.

Notebooks

GAN_distributed_training.ipynb

In this Notebook, TensorFlow's tutorial on the DCGAN is adapted to be able to train the model on TPU. Check this guide for details on distributed training on TPU.

Owner

Sascha Kirch

:technologist: PhD student in machine learning :zap: IEEE Eta Kappa Nu - Nu Alpha :man_student: Master in electrical engineering

GitHub Repository

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation (NeurIPS 2021) Code for our NeurIPS 2021 paper 'Exploiting the Intri

53 Dec 25, 2022

This repository contains the code for the paper in EMNLP 2021: "HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression".

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression This repository contains the code for the paper in EM

2 Mar 24, 2022

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics This work will be published in Nature Biomedical

71 Nov 15, 2022

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

taganomaly Anomaly detection labeling tool, specifically for multiple time series (one time series per category). Taganomaly is a tool for creating la

272 Dec 17, 2022

[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

IFAN: Iterative Filter Adaptive Network for Single Image Defocus Deblurring Checkout for the demo (GUI/Google Colab)! The GUI version might occasional

173 Dec 30, 2022

1st place solution to the Satellite Image Change Detection Challenge hosted by SenseTime

209 Jan 01, 2023

Create images and texts with the First Order Generative Adversarial Networks

First Order Divergence for training GANs This repository contains code accompanying the paper First Order Generative Advesarial Netoworks The majority

35 Dec 11, 2021

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Probabilistic U-Net + **Update** + An improved Model (the Hierarchical Probabilistic U-Net) + LIDC crops is now available. See below. Re-implementatio

498 Dec 26, 2022

Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i

1 Dec 15, 2021

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

Language Emergence in Multi Agent Dialog Code for the Paper Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog Satwik Kottur, José M.

105 Nov 25, 2022

The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"

Pixel-level Self-Paced Learning for Super-Resolution This is an official implementaion of the paper Pixel-level Self-Paced Learning for Super-Resoluti

41 Dec 15, 2022

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PortaSpeech - PyTorch Implementation PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech. Model Size Module Nor

279 Jan 04, 2023

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework Background: Outlier detection (OD) is a key data mining task for identify

127 Jan 05, 2023

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed+Megatron trained the world's most powerful language model: MT-530B DeepSpeed is hiring, come join us! DeepSpeed is a deep learning optimizat

8.4k Dec 28, 2022

This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model inference.

PyTorch Infer Utils This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model infer

11 Mar 20, 2022

Collection of machine learning related notebooks to share.

Related tags

Overview

ML_Notebooks

Notebooks

GAN_distributed_training.ipynb

Owner

Sascha Kirch

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

This repository contains the code for the paper in EMNLP 2021: "HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression".

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

1st place solution to the Satellite Image Change Detection Challenge hosted by SenseTime

Create images and texts with the First Order Generative Adversarial Networks

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model inference.

Paddle implementation for "Cross-Lingual Word Embedding Refinement by ℓ1 Norm Optimisation" (NAACL 2021)

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.

The implementation for "Comprehensive Knowledge Distillation with Causal Intervention".

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition