Pinned Repositories
AudioMLProject1
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
AvroParquetExample
A project demonstrating the functionality of Avro and Parquet.
awesome
A curated list of awesome lists
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.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
P2PSystemsProject
Handles call initiation, termination, call busy and waiting; Performs interaction with DHT (Distributed Hash Table) and KX (Key Exchange) modules. Generates pseudo-identities of callee, based on the DH (Diffe-Hellman) Key Exchange method and maintains session between caller and callee. Uses the RTP protocol to stream/exchange audio over the network reliably in real-time. Also performs self calling to mitigate profiling attacks.
pythonds
Data Structures package for Problem Solving with Algorithms and Data Structures using Python
ThriftParquetExample
This is a sample project which tests a Parquet implementation allowing writing of serialized Thrift objects into a Parquet file format. For more information refer to: www.parquet.io
netankit's Repositories
netankit/P2PSystemsProject
Handles call initiation, termination, call busy and waiting; Performs interaction with DHT (Distributed Hash Table) and KX (Key Exchange) modules. Generates pseudo-identities of callee, based on the DH (Diffe-Hellman) Key Exchange method and maintains session between caller and callee. Uses the RTP protocol to stream/exchange audio over the network reliably in real-time. Also performs self calling to mitigate profiling attacks.
netankit/pythonds
Data Structures package for Problem Solving with Algorithms and Data Structures using Python
netankit/awesome
A curated list of awesome lists
netankit/awesome-hacking
A curated list of awesome Hacking tutorials, tools and resources
netankit/cs231n.github.io
Public facing notes page
netankit/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
netankit/fastText
Library for fast text representation and classification.
netankit/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
netankit/TensorFlow-Examples-1
TensorFlow tutorials and code examples for beginners
netankit/AudioMLProject4
Effect of Different Languages on Training and Testing for Speaker Identification
netankit/awesome-distributed-systems
A curated list to learn about distributed systems
netankit/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
netankit/CNN-for-Sentence-Classification-in-Keras
Convolutional Neural Networks for Sentence Classification in Keras
netankit/dataset-sts
Semantic Text Similarity Dataset Hub
netankit/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.
netankit/MasterThesis
Latex based Draft of the Master Thesis
netankit/Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
netankit/odscon-sf-2015
Material for ODSCON San Francisco 2015
netankit/rust-learning
A bunch of links to blog posts, articles, videos, etc for learning Rust
netankit/scipy2015-blaze-bokeh
Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
netankit/ScrambledDataReconstructor
Reconstructs Scambled Text data
netankit/sent_cnn_tf
A Tensorflow implementation of DSSM (slightly modified).
netankit/strata_data
A repo of sample data for our PyData Tutorial!
netankit/summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
netankit/tensorflow-examples
Some Tensorflow examples and Jupyter notebooks
netankit/tensorflow-workshop
This repo contains materials for use in a TensorFlow workshop.
netankit/tensorflow_with_latest_papers
Implementation of Newest RNN and Seq2Seq Features
netankit/tf_seq2seq_chatbot
netankit/urlclustering
Package to facilitate URL clustering
netankit/word2vec
Automatically exported from code.google.com/p/word2vec