5921 Open source projects that are alternatives of or similar to Selene

TensorFlow Tutorials

Deep Learning for Land-cover Classification in Hyperspectral Images.

Gradient based receptive field estimation for Convolutional Neural Networks

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Code and Examples for Relevant Search

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

a generalist algorithm for cellular segmentation

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

MAttNet: Modular Attention Network for Referring Expression Comprehension

A collection of notebook to learn the Applied Predictive Modeling using Python.

ULMFiT for Genomic Sequence Data

Tutorial on "Modern Optimization Methods in Python"

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

A crash course in six episodes for software developers who want to become machine learning practitioners.

A python package that includes many methods for decoding neural activity

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Python solutions to solve practical business problems.

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

PyTorch implementation of Tacotron speech synthesis model.

Machine Learning and Deep Learning Resources

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Exploration of methods for coloring t-SNE.

Machine Learning in Finance: From Theory to Practice Book

SuperComputing 2017 Deep Learning Tutorial

Code for our paper "Hamiltonian Neural Networks"

Jupyter notebooks associated with the Algorithms for Optimization textbook

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Ray tutorials from Anyscale

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Exercises for the Analysis of Knowledge Graphs

Python version of Quantiacs toolbox and sample trading strategies

CNN image style transfer 🎨.

Easy to use Python camera interface for NVIDIA Jetson

exercise for nndl

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

从零基础开始机器学习之旅

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

Code and examples for JHU Computational Genomics class

ML Online Course Repository. Course videos on online.codingblocks.com

Shared Blogs and Notebooks

主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

faiss wiki in chinese.

VPoser: Variational Human Pose Prior

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

A sample code of data augmentation methods for wearable sensor data (time-series data)