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A repository to keep track of all the code that I end up writing for my blog posts.
Keep learning something new
Data science teaching materials
common data analysis and machine learning tasks using python
Open Source Data Science Resources.
http://DataScienceSpecialization.github.io
This is the official repository for the bwcon + EY Data-X Masterclass
Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
Repo for the Deep Learning Nanodegree Foundations program.
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.
A community run, 5-day PyTorch Deep Learning Bootcamp
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Notes and experiments to understand deep learning concepts
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Introduction to Deep Neural Networks with Keras and Tensorflow
:satellite: Organized Resources for Deep Learning Researchers and Developers
Deep Learning Specialization by Deep Learning AI , Includes CNN,Sequence Models, STM and more. Andrew NG is course teacher
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
Udacity DeepReinforcement Learning Nanodegree course taken during March - April 2020
Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
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.