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Name: Ankit Bahuguna
Type: User
Company: @duckduckgo
Bio: NLP • ML • Search • Privacy • AI • Distributed Systems
Twitter: codekee
Location: Munich, Germany
Name: Ankit Bahuguna
Type: User
Company: @duckduckgo
Bio: NLP • ML • Search • Privacy • AI • Distributed Systems
Twitter: codekee
Location: Munich, Germany
State-of-the-art Deep Learning publications, frameworks & resources
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Approaching (Almost) Any Machine Learning Problem
Voice Activity Detection: In this first assignment, we will create a dataset that simulates speech in every-day scenarios. We train a classifier on this dataset for distinguishing voiced from non-voiced sections, a task called voice activity detection, VAD for short. This, of course, requires a ground truth in terms of VAD annotations.
Speaker Detection: We have one target speaker whom we want to detect. The set of impostors is open, i.e., we have no prior information on the test speakers. An important part of the speaker detection pipeline is voice activity detection to filter out segments of the signal that do not contain speech.
Emotion recognition of Speaker's Speech Data. Employ speaker detection classifiers for emotion recognition, a multiclass classification problem. Emotion Classes: Happy, Sad, Neutral, Relaxed and Angry
Effect of Different Languages on Training and Testing for Speaker Identification
A project demonstrating the functionality of Avro and Parquet.
A curated list of awesome lists
A curated list to learn about distributed systems
A curated list of awesome Hacking tutorials, tools and resources
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text (such as a sentence or a document) is represented as the bag (multiset) of its words, disregarding grammar and even word order but keeping multiplicity. Recently, the bag-of-words model has also been used for computer vision.[1] The bag-of-words model is commonly used in methods of document classification, where the (frequency of) occurrence of each word is used as a feature for training a classifier.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Convolutional Neural Networks for Sentence Classification in Keras
🎓 :octocat: Preparation resources for software and web technical interviews
Information about the Kubeflow community including proposals and governance information.
The code for COPACRR Neural IR model.
:octocat: educational repo for storing my practice sessions with ASM, C and C++ as well as solutions to online courses I take relating to ASM, C, and C++ programming
Public facing notes page
PyData, The Complete Works of
Semantic Text Similarity Dataset Hub
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Deep Learning Tutorial notes and code. See the wiki for more info.
This project introduces Design Patterns for Java. I am learning new patterns during my day to day work and hence i created this project which can be used as a reference to get familiar with the subject.
Distributed Systems Project for Winter Semester 2013.
An example of data parallelism and async updates of parameter in tensorflow.
The repository holds the code in Java for various problems asked in a Software Engineering Interview for Product based companies like Facebook. Google, Amazon and Microsoft.
Elastic Search Client
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.