6556 Open source projects that are alternatives of or similar to Zoom Learn Zoom

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

Deep learning system course

线性代数笔记

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

LargitData Course Material

Visual Search using Apache MXNet and gluon

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Tutorial covering Open Source tools for Source Separation.

Run any standard Python code quality tool on a Jupyter Notebook

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

just some code snippet

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

Code snippets from Kite blog posts

虾神的Python示例代码库

A fast and lightweight AutoML library.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

A clear, concise, simple yet powerful and efficient API for deep learning.

Optimization Examples with SigOpt

Navigating the GAN Parameter Space for Semantic Image Editing

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

This is an LSTM stock prediction using Tensorflow with Keras on top.

A seq2seq model that can correct spelling mistakes.

Text Classification through CNN, RNN & HAN using Keras

Detecting and counting small objects - Analysis, review and application to counting

An automatic beatmap generator using Tensorflow / Deep Learning.

爬虫+数据分析实战项目

fastai V2 implementation of Timeseries classification papers.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Machine Learning notebooks for refreshing concepts.

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Generating RGB photos from RAW image files with PyNET

Urban Informatics and Visualization (UC Berkeley CP255)

Representing research papers as vectors / latent representations.

Productionise your Jupyter Notebooks as easily as you wrote them.

FaceNet for face recognition using pytorch

The BlazeFace face detector model implemented in PyTorch

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Nudity detection with JavaScript and HTMLCanvas

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Detect source resolution of upscaled images

Deep Learning for Land-cover Classification in Hyperspectral Images.

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

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MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

Python技术 公众号文章代码实例

Materials for PyCon 2017 presentation on optimizing Pandas code

Tutorial: Web scraping in Python with Beautiful Soup

Learn Python, Easy to learn, Awesome