377 Open source projects that are alternatives of or similar to Galaxy Image Classifier Tensorflow

Astronomical algorithms in Rust

Library of transfer learners and domain-adaptive classifiers.

Almost any Image classification problem using pytorch

Deep Transfer Learning Papers

ASDF (Advanced Scientific Data Format) is a next generation interchange format for scientific data

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Astroberry Server is a ready to use system for Raspberry Pi for controlling all your astronomy equipment

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Code, data, and instructions to map every star you can see from Earth

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Tutorials for the Astropy Project

Astropy affiliated package for reducing optical/IR CCD data

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

imexam is a python tool for simple image examination, and plotting, with similar functionality to IRAF's imexamine

Code for Learning to select data for transfer learning with Bayesian Optimization

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

kaggle Dog Breed Identification

Bundle of small astronomical and astrophysical routines.

Building an image classifier using keras

SkyPy: A package for modelling the Universe.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Tools for working with the @ESAGaia data and related data sets

The modular galaxy image simulation toolkit. Documentation:

A simple longslit spectroscopy pipeline in Python

Open Toolkit for Painless Object Detection

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Transfer Learning library for Deep Neural Networks.

Deep-learning seismic facies on state-of-the-art CNN architectures

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Galactic Dynamics in python

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

A big list of space book and whitepaper recommendations.

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Scalable 1D Gaussian Processes in C++, Python, and Julia

Moon phase widget for website in javascript

Anything can happen in the next half hour (including spectral timing made easy)!

Skin cancer classification using Inceptionv3

Code for Sluice networks: Learning what to share between loosely related tasks

Automated Line Fitting Algorithm

A collection of astronomy-related routines in Python

Real-time 3D visualization of space.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

PyAutoLens: Open Source Strong Gravitational Lensing

Transfer-Learning-Library

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Automated generation of NASA ADS bibtex entries directly from citation keys in your TeX source files

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

3D astronomy and space exploration program.

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Astropy package for source detection and photometry. Maintainers: @larrybradley and @bsipocz

Deep Learning for Astronomers with Tensorflow

🦄 State-of-the-Art Conversational AI with Transfer Learning