netankit

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

@duckduckgoMunich, Germany

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.
Language:Python18 4 110
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.
Language:Python7 3 04
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
Language:Python16 4 09
AvroParquetExample
A project demonstrating the functionality of Avro and Parquet.
Language:Java2 2 00
awesome
A curated list of awesome lists
1 2 00
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.
Language:Java5 2 03
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Language:Jupyter Notebook2 2 00
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.
Language:Java6 5 02
pythonds
Data Structures package for Problem Solving with Algorithms and Data Structures using Python
Language:Python2 2 00
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
Language:Java2 2 01

netankit's Repositories

netankit/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Language:Jupyter Notebook2 2 00
netankit/coding-interviews
🎓 :octocat: Preparation resources for software and web technical interviews
Language:JavaScript1 2 0
netankit/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Language:TeX1 2 0
netankit/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Language:Jupyter Notebook1 2 0
netankit/interviews
Everything you need to know to get the job.
Language:Java1 2 0
netankit/lectures
Oxford Deep NLP 2017 course
1 2 0
netankit/lime
Lime: Explaining the predictions of any machine learning classifier
Language:JavaScript1 2 0
netankit/ML-From-Scratch
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
Language:Python1 2 0
netankit/MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Language:TeX1 2 0
netankit/Adventures-in-deep-learning
State-of-the-art Deep Learning publications, frameworks & resources
2 0
netankit/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Language:C++2 0
netankit/approachingalmost
Approaching (Almost) Any Machine Learning Problem
1 0
netankit/community
Information about the Kubeflow community including proposals and governance information.
Language:Python2 0
netankit/copacrr
The code for COPACRR Neural IR model.
Language:C2 0
netankit/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
Language:C++2 0
netankit/distributed-tensorflow-example
An example of data parallelism and async updates of parameter in tensorflow.
Language:Python2 0
netankit/examples
A repository to host extended examples and tutorials
Language:Jupyter Notebook2 0
netankit/How_to_make_a_text_summarizer
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
Language:Jupyter Notebook2 0
netankit/kops
Kubernetes Operations (kops) - Production Grade K8s Installation, Upgrades, and Management
Language:Go2 0
netankit/ktext
Utilities for preprocessing text for deep learning with Keras
Language:Jupyter Notebook2 0
netankit/netankit.github.io
Github Blog
Language:CSS2 0
netankit/NEUIR
Neural network techniques for Information Retrieval
Language:Python2 0
netankit/pgANN
Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
Language:Python1 0
netankit/python-rocksdb
Python bindings for RocksDB
Language:Python2 0
netankit/python_practice
Solutions to well known Algorithmic and Data Structures related problems in Python
Language:Python2 0
netankit/rust-python-example
Example of using Rust to Extend Python
Language:Python2 0
netankit/rust_experiments
Experiments with rustlang
Language:Rust2 0
netankit/rustlings
Small exercises to get you used to reading and writing Rust code
Language:Rust2 0
netankit/unet_distributed
Distributed TensorFlow UNet
Language:Python2 0
netankit/website
Kubeflow's public website
Language:CSS2 0