netankit Goto Github PK

followers: 41.0 following: 34.0 repos: 97.0 gists: 2.0

Name: Ankit Bahuguna

Type: User

Company: @duckduckgo

Bio: NLP • ML • Search • Privacy • AI • Distributed Systems

Twitter: codekee

Location: Munich, Germany

Blog: linkedin.com/in/ankitbahuguna

Ankit Bahuguna's Projects

adventures-in-deep-learning

State-of-the-art Deep Learning publications, frameworks & resources

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

approachingalmost

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.

audiomlproject2

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.

audiomlproject3

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

audiomlproject4

Effect of Different Languages on Training and Testing for Speaker Identification

avroparquetexample

A project demonstrating the functionality of Avro and Parquet.

awesome

A curated list of awesome lists

awesome-distributed-systems

A curated list to learn about distributed systems

awesome-hacking

A curated list of awesome Hacking tutorials, tools and resources

bagofwordsmodel

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.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

coding-interviews

🎓 :octocat: Preparation resources for software and web technical interviews

community

Information about the Kubeflow community including proposals and governance information.

copacrr

The code for COPACRR Neural IR model.

cpp.playground

: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

cs231n.github.io

Public facing notes page

datascience-anthology-pydata

PyData, The Complete Works of

dataset-sts

Semantic Text Similarity Dataset Hub

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-semantic-similarity-model

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.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

designpatternsexample

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.

dist-sys

Distributed Systems Project for Winter Semester 2013.

distributed-tensorflow-example

An example of data parallelism and async updates of parameter in tensorflow.

dsalgojava

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.

esclient

Elastic Search Client

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