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Type: User
Company: University of Oxford
Bio: Dr Pushpanjali Banik | PhD| MSc| BTech| RL| ML| DL| 5G| SDN| NFV
Location: United kingdom
Type: User
Company: University of Oxford
Bio: Dr Pushpanjali Banik | PhD| MSc| BTech| RL| ML| DL| 5G| SDN| NFV
Location: United kingdom
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Anomaly detection on X-Ray MURA dataset using GAN.
CIFAR-10 image classification of imbalanced data using bottleneck features extracted from the autoencoder.
Experiment for detecting Anomaly detection using Autoencoders
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A curated list of awesome Deep Learning tutorials, projects and communities.
In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings
code commit
Coursera's Machine Learning by Andrew Ng
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
ML Libraries
Cheat Sheets
Data Science Tutorials
This repo contains machine learning projects for beginners
This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.
Codes and Templates from the SuperDataScience Course
Solutions to the specialization Deep Learning taught by Andrew NG
A project about the brief implementation of MLP, CNN, RNN, Unsupervised learning with Autoencoders, ETC, Text analytics using CNN in Python
List of papers, code and experiments using deep learning for time series forecasting
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
Adversarial Autoencoder and Adv. Variational Bayes simple examples on Keras
Fast Auto Machine Learning
A new feature selection method using feedforward neural networks and variance-based sensitivity analysis
Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
Financial Sentiment Analysis with BERT
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Code for ICCV Paper "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions"
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.