All Projects → Mixup Generator → Similar Projects or Alternatives

6790 Open source projects that are alternatives of or similar to Mixup Generator

Dtsmake
TypeScript 's type definition file (*.d.ts files) generator tool from JavaScript files.
Stars: ✭ 231 (-7.6%)
Mutual labels:  generator
Bigquery Oreilly Book
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Stars: ✭ 246 (-1.6%)
Mutual labels:  jupyter-notebook
Satellite analysis
Analysis scripts of things related to satellites
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Pixel level land classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (-13.2%)
Mutual labels:  jupyter-notebook
Datasets
source{d} datasets ("big code") for source code analysis and machine learning on source code
Stars: ✭ 231 (-7.6%)
Mutual labels:  jupyter-notebook
Generate
A new command line tool and developer framework for scaffolding out GitHub projects. Generate offers the robustness and configurability of Yeoman, the expressiveness and simplicity of Slush, and more powerful flow control and composability than either.
Stars: ✭ 238 (-4.8%)
Mutual labels:  generator
18335
18.335 - Introduction to Numerical Methods course
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Jetcam
Easy to use Python camera interface for NVIDIA Jetson
Stars: ✭ 242 (-3.2%)
Mutual labels:  jupyter-notebook
Medical Ai Course Materials
メディカルAIコース オンライン講義資料
Stars: ✭ 218 (-12.8%)
Mutual labels:  jupyter-notebook
Nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+1356%)
Mutual labels:  deep-neural-networks
Cvpr2019 pyramid Feature Attention Network For Saliency Detection
code and model of Pyramid Feature Selective Network for Saliency detection
Stars: ✭ 249 (-0.4%)
Mutual labels:  jupyter-notebook
Portrait Shadow Manipulation
Stars: ✭ 217 (-13.2%)
Mutual labels:  jupyter-notebook
Tensorflow 101
TensorFlow Tutorials
Stars: ✭ 2,565 (+926%)
Mutual labels:  jupyter-notebook
Paddlehelix
Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Stars: ✭ 213 (-14.8%)
Mutual labels:  jupyter-notebook
Retail Demo Store
AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
Stars: ✭ 238 (-4.8%)
Mutual labels:  jupyter-notebook
Malware Detection
Malware Detection and Classification Using Machine Learning
Stars: ✭ 217 (-13.2%)
Mutual labels:  jupyter-notebook
Relevant Search Book
Code and Examples for Relevant Search
Stars: ✭ 231 (-7.6%)
Mutual labels:  jupyter-notebook
Stock market prediction
This is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Stars: ✭ 217 (-13.2%)
Mutual labels:  jupyter-notebook
Pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
Stars: ✭ 2,789 (+1015.6%)
Mutual labels:  jupyter-notebook
Amazon Sagemaker Mlops Workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
Stars: ✭ 215 (-14%)
Mutual labels:  jupyter-notebook
Mattnet
MAttNet: Modular Attention Network for Referring Expression Comprehension
Stars: ✭ 232 (-7.2%)
Mutual labels:  jupyter-notebook
Tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-18.4%)
Mutual labels:  jupyter-notebook
Deeptextures
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
Stars: ✭ 241 (-3.6%)
Mutual labels:  jupyter-notebook
Co Mocha
Enable support for generators in Mocha tests
Stars: ✭ 216 (-13.6%)
Mutual labels:  generator
Statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Rl Adventure 2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Stars: ✭ 2,633 (+953.2%)
Mutual labels:  jupyter-notebook
Talks
Stars: ✭ 247 (-1.2%)
Mutual labels:  jupyter-notebook
Tensorface
This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
Stars: ✭ 215 (-14%)
Mutual labels:  jupyter-notebook
Learn Statistical Learning Method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Python lectures
파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
Stars: ✭ 214 (-14.4%)
Mutual labels:  jupyter-notebook
Companienv
Companion for .env files
Stars: ✭ 241 (-3.6%)
Mutual labels:  generator
Pytorch Lapsrn
Pytorch implementation for LapSRN (CVPR2017)
Stars: ✭ 215 (-14%)
Mutual labels:  deep-neural-networks
Introduction To Python
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)
Stars: ✭ 232 (-7.2%)
Mutual labels:  jupyter-notebook
Pytorch Superpoint
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Stars: ✭ 214 (-14.4%)
Mutual labels:  jupyter-notebook
Jupyter Tips And Tricks
Using Project Jupyter for data science.
Stars: ✭ 245 (-2%)
Mutual labels:  jupyter-notebook
Pytorch Byol
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-14.8%)
Mutual labels:  jupyter-notebook
Pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-7.6%)
Mutual labels:  deep-neural-networks
Applied Predictive Modeling With Python
A collection of notebook to learn the Applied Predictive Modeling using Python.
Stars: ✭ 214 (-14.4%)
Mutual labels:  jupyter-notebook
Udemy derinogrenmeyegiris
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
Stars: ✭ 239 (-4.4%)
Mutual labels:  jupyter-notebook
Tutmom
Tutorial on "Modern Optimization Methods in Python"
Stars: ✭ 214 (-14.4%)
Mutual labels:  jupyter-notebook
Imaginary Numbers Are Real
Code To Accompany YouTube Series Imaginary Numbers Are Real
Stars: ✭ 231 (-7.6%)
Mutual labels:  jupyter-notebook
Pythonnumericaldemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Stars: ✭ 213 (-14.8%)
Mutual labels:  jupyter-notebook
Models
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
Stars: ✭ 248 (-0.8%)
Mutual labels:  deep-neural-networks
Kekoxtutorial
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-14.8%)
Mutual labels:  jupyter-notebook
Dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-7.6%)
Mutual labels:  jupyter-notebook
Machine Learning Interview Enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Stars: ✭ 207 (-17.2%)
Mutual labels:  jupyter-notebook
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+1183.6%)
Mutual labels:  jupyter-notebook
Pollinate
Template your base files and generate new projects from Git(Hub).
Stars: ✭ 213 (-14.8%)
Mutual labels:  generator
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-8%)
Mutual labels:  jupyter-notebook
Neural decoding
A python package that includes many methods for decoding neural activity
Stars: ✭ 212 (-15.2%)
Mutual labels:  jupyter-notebook
Box Plots Sklearn
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Stars: ✭ 245 (-2%)
Mutual labels:  jupyter-notebook
Gpt2bot
Your new Telegram buddy powered by transformers
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Fouriertalkoscon
Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Stars: ✭ 244 (-2.4%)
Mutual labels:  jupyter-notebook
End2end All Conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Stars: ✭ 236 (-5.6%)
Mutual labels:  jupyter-notebook
Coronavirus Epidemic Covid 19
👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Stars: ✭ 228 (-8.8%)
Mutual labels:  jupyter-notebook
Deep Learning In Production
Develop production ready deep learning code, deploy it and scale it
Stars: ✭ 216 (-13.6%)
Mutual labels:  jupyter-notebook
R C3d
code for R-C3D
Stars: ✭ 238 (-4.8%)
Mutual labels:  jupyter-notebook
Pydata Book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Stars: ✭ 16,386 (+6454.4%)
Mutual labels:  jupyter-notebook
Data
Data and code behind the articles and graphics at FiveThirtyEight
Stars: ✭ 15,241 (+5996.4%)
Mutual labels:  jupyter-notebook
Keras Elmo
How to use ELMo embeddings in Keras with Tensorflow Hub
Stars: ✭ 247 (-1.2%)
Mutual labels:  jupyter-notebook
301-360 of 6790 similar projects