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

An AI made using artificial intelligence (AI) and machine learning algorithms (ML) .

DTech.AIML An AI made using artificial intelligence (AI) and machine learning algorithms (ML) . This is created by help of some members in my team and

1 Jan 06, 2022

Vision Deep-Learning using Tensorflow, Keras.

Welcome! I am a computer vision deep learning developer working in Korea. This is my blog, and you can see everything I've studied here. https://www.n

6 Dec 14, 2022

Multiple custom object count and detection using YOLOv3-Tiny method

Electronic-Component-YOLOv3 Introduce This project created to detect, count, and recognize multiple custom object using YOLOv3-Tiny method. The target

2 Nov 14, 2022

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store dev

0 Feb 03, 2022

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Densely Connected Convolutional Networks (DenseNets) This repository contains the code for DenseNet introduced in the following paper Densely Connecte

4.5k Jan 03, 2023

AFLFast (extends AFL with Power Schedules)

AFLFast Power schedules implemented by Marcel Böhme [email protected]

380 Jan 03, 2023

Try out deep learning models online on Google Colab

1.5k Dec 27, 2022

TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

104 Jan 03, 2023

Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)

Author: Behrouz Safari License: MIT sdss A python package for retrieving and analysing data from SDSS (Sloan Digital Sky Survey) Installation Install

3 Oct 28, 2022

Contextual Attention Localization for Offline Handwritten Text Recognition

CALText This repository contains the source code for CALText model introduced in "CALText: Contextual Attention Localization for Offline Handwritten T

0 Feb 17, 2022

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

VT-UNet This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmentaion results of VT-UNet. Environmen

114 Dec 20, 2022

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

This is the official repository of the paper: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability A private copy of the

33 Dec 31, 2022

Easy genetic ancestry predictions in Python

ezancestry Easily visualize your direct-to-consumer genetics next to 2500+ samples from the 1000 genomes project. Evaluate the performance of a custom

38 Jan 02, 2023

PyTorch implementation of a Real-ESRGAN model trained on custom dataset

Real-ESRGAN PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original

160 Jan 04, 2023

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

8 Sep 14, 2022

Collection of machine learning related notebooks to share.

Related tags

Overview

ML_Notebooks

Notebooks

GAN_distributed_training.ipynb

Owner

Sascha Kirch

An AI made using artificial intelligence (AI) and machine learning algorithms (ML) .

Vision Deep-Learning using Tensorflow, Keras.

Multiple custom object count and detection using YOLOv3-Tiny method

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

AFLFast (extends AFL with Power Schedules)

Try out deep learning models online on Google Colab

TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)

Contextual Attention Localization for Offline Handwritten Text Recognition

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Easy genetic ancestry predictions in Python

PyTorch implementation of a Real-ESRGAN model trained on custom dataset

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

Torch implementation of SegNet and deconvolutional network

tf2-keras implement yolov5

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Robustness between the worst and average case

Pytorch implementation of Learning with Opponent-Learning Awareness