ranga6897 Goto Github PK

agmarket

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

camstudio-mousedown-highlight

Modify CamStudio so that the cursor highlight is only displayed when the mouse button is pressed

cdiscount-image-classification---kaggle-competition

code_snippets

cookbook

Personal reference scripts for commonly used code

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid19india-react

📊 Source code of the main website

cs131_notes

Class notes for CS 131.

cs231n.github.io

Public facing notes page

darima

Distributed ARIMA Models

data-science-cheatsheet

dataanalysis

design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

distributed-statistical-computing

Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)

end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

forecasting-with-time-series-imaging

time series forecasting with image

fuma

Forecast uncertainty based on model averaging

gcloud

Google Cloud tutorial and setup

gpt-pilot

The first real AI developer

grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

gradient_descent_algorithm_using_numpy

Batch, Stochastic and Mini-batch gradient algorithm implementation using Numpy

gratis

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.