neuralji Goto Github PK
Name: Mohd Naved
Type: User
Bio: I want to explore the depth of Deep Learning
Location: Delhi
Name: Mohd Naved
Type: User
Bio: I want to explore the depth of Deep Learning
Location: Delhi
Adaptive Multivariate Empirical Mode Decomposition
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
CH485 - Artificial Intelligence and Chemistry
This is about getting live feeds from Cam, and counting peoples in different areas in office.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Stock Market Decision Support System using Deep Learning & Sentiment Analysis
A friendly web user interface including visualized plots and informative reports for Deepforecasting project
Stock market time series forcast (benchmark MA vs RNN) and prediction of crisis period by time series pattern recognition with CNN
Empirical Mode Decomposition
Forcasting stock market movement direction with support vector machine
Topic Modelling for Humans
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A collection of various Mini-Projects; Just for practicing
Models built with TensorFlow
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Python implementation of Empirical Mode Decompoisition (EMD) method
Singular Spectrum Analysis for time series forecasting in Python
Python package for Stock Market analysis. (Historical Data, News analysis, EMD, etc..)
RBF layer for Keras
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
This is my project to forecast close price of stock market based on LSTM. I use yahoo api for getting stock data and develop forcasting model based on Keras on Python 3. The result of this model isn't good enougth but this is the case study about how to use deep learning to analyze time series data.
Using machine learning to forcast the stock market
Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend
All technical analysis indicators code in python - No need for any additional module except( Numpy, Pandas, )
TensorLy: Tensor Learning in Python.
Simple web service providing a word embedding model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.