5921 Open source projects that are alternatives of or similar to Covid 19

Neural networks from scratch

Context-driven data augmentation for Object Detection (ECCV'18)

SST: Single-Stream Temporal Action Proposals (Official Repo)

Mish Activation Function for PyTorch

Deep Neural Decision Trees

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

Supporting infrastructure to run scientific experiments without a scientific workflow management system.

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Brazilian-Portuguese word list and instructions booklet for Diceware

DLTK Model Zoo

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Fined grained classification On Car dataset

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

All codes from the DataWhatNow blog.

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Plots from the book "Storytelling with data" implementation using Python and matplotlib

detect curved lane lines using HSV filtering and sliding window search.

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

Simple BitMEX trading robot.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Support code for the medium blog on transfer learning. Link to the blog in the Readme file.

Facial Expression Recognition with a deep neural network as a PyPI package

Stanford cs224n 2019 homework

R kernel for Jupyter

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

An PyTorch reimplementation of bottom-up-attention models

Tutorials on using JuMP for mathematical optimization in Julia

An extension for IPython/Jupyter that helps to use Fortran in your interactive session.

A place to collect resources shared bythe community of Intel® Edge AI Foundation course

Best Practices on Recommendation Systems

Fast and Easy Infinite Neural Networks in Python

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders

Deep Declarative Networks

Torch notebooks and slides for the Bay Area Deep Learning Summer School

⬛ Python Individual Conditional Expectation Plot Toolbox

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

Montréal Deep Learning Summer School 2016 material

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

Wrapper of DELF Tensorflow Model

Implementation of original style transfer paper (Gatys et al)

100天机器学习 （翻译+ 实操）

机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用

Todas os arquivos dos vídeos do Canal Sandeco

Course materials and handouts for #100DaysOfCode in Python course

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

Examples on how to use the alpha vantage library

Code repository for Advanced Machine Learning with Python, published by Packt

Implementing a Neural Network from Scratch