5961 Open source projects that are alternatives of or similar to Coronavirus Epidemic Covid 19

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

CNN image style transfer 🎨.

my note

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! ✨

exercise for nndl

线性代数笔记

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

LargitData Course Material

从零基础开始机器学习之旅

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

A collection of various deep learning architectures, models, and tips

Run any standard Python code quality tool on a Jupyter Notebook

Use the Mask RCNN for the human pose estimation

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

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

just some code snippet

Code snippets from Kite blog posts

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Python Bootcamp docs and lectures (UC Berkeley)

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

Visualising LIDAR data from KITTI dataset.

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

Deep learning system course

Optimization Examples with SigOpt

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

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)

Visual Search using Apache MXNet and gluon

A seq2seq model that can correct spelling mistakes.

Learn Python, Easy to learn, Awesome

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

Graph Convolution Network for NLP

爬虫+数据分析实战项目

深度学习常用优化方法详解

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

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Representing research papers as vectors / latent representations.

Notes and Summaries on ML-related Research Papers (with optional implementations)

FaceNet for face recognition using pytorch

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

The accompanying files for the book 'Dataviz with Python and JavaScript'

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

Oriented Response Networks, in CVPR 2017

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

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.

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

Data Engineering on Google Cloud Platform

Convert human motion from video to .bvh

code for reading and processing Allen Institute for Brain Science data

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

Apache Spark (PySpark) Practice on Real Data

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Develop production ready deep learning code, deploy it and scale it

Data and code behind the articles and graphics at FiveThirtyEight

NeMo: a toolkit for conversational AI