@nkish (ankishb)

ankishb

Geek Repo

Company:Student, Post Graduate, IITK

Location:India

Home Page:https://ankishb.github.io/

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@nkish's repositories

ml-toolbox

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

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ml-projects

This repo contains various Data Science projects involving image, text, tabular and graph dataset with classical ML as well as Deep Learning.

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Algorithm-DS-Problems

This repo contains solutions for problems on Data Structure and Algorithms, from InterviewBit, LeetCode and HackerRank. Some problems are categorized topicwise as dp, graph, greedy, array, etc and others are in a random order. The complete list of problems and their source can be find in all_program_list file.

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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MLProjects

A list of Machine Learning Learning based on classical ML and deep learning models.

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vaex

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

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ankishb.github.io

Blogs on random topics in deep learning, data science, machine learning, data structure and algorithms.

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fun-projects

python-fun-short-project

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120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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autogluon

AutoGluon: AutoML Toolkit for Deep Learning

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ctc-asr

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

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CTCDecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

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d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

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flask-application

Web Application demo using flask

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keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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keras-io

Keras documentation, hosted live at keras.io

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keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

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knowledge-distillation

A teacher-student appproach in the supervised and unsupervised dataset framework.

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P-GNN

Position-aware Graph Neural Networks

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PlayML

This is a simple toolbox with a lot of functionality on feature preprocessing, feature engineering and machine learning model with hyperparamters optimization.

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

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Recommender-System

This is highly involved project on recommendation system with classical and advance method.

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scikit-learn

scikit-learn: machine learning in Python

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self-supervised-speech-recognition

speech to text with self-supervised learning based on wav2vec 2.0 framework

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seq2seq

A seq2seq model for machine translation

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thesis-latex-iitk-format

Thesis format in latex of IITK

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warp-ctc

Fast parallel CTC.

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