Work done for deeplearning.ai on coursera
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Updated
Oct 13, 2017 - Python
Work done for deeplearning.ai on coursera
alternative illustration2vec implitation of sigmoids of fully connected layer
The purpose of this repository is to explore text classification methods in NLP with deep learning.
Linear regression algorithm that converges using gradient descent built-in Python with Numpy module.
MicroPython functions written in assembly language for use with arrays to allow fast (vectorized) numeric computations.
Twitter Sentiment Analysis
A simple vectorized implementation of a Convolutional Neural Network in plain Numpy && more
Implementation of Different NLP techniques to convert text to feature vector
Search Engine that returns list of songs and lyrics matching a user's inputted mood
pflow encoded petri-net state machines in Rust
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Side project at IOP Technologies
A comparison of methods in Vectorization and ML used for text categorization.
Tools for extracting vector representations of JSON documents
A collection of maths functions in Python.
Cadishi: CAlculation of DIStance HIstograms
Quantize Vectors with Product Quantization by Jegou et al. Uses Asymmetric Distance Computation (ADC)
Vectorization is a process of converting the text data into a machine-readable form. The words are represented as vectors.
Stumble Upon Kaggle Comptetion Suggested by Abhishek Thakur
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