aryancodify

ai_in_fintech

AI and Machine Learning Techniques for solving finance problems

Attribution-Modeling-Budget-Optimization

Clustering

Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.

DimensionalityReducton

Usage Of Various Dimensionality Reduction Techniques in Python

Fifa2018Predictions

Prediction for FIFA world cup 2018 challenge

ML_Reading_101_Challenge

Repo to add summary of 101 research paper/articles to be read over the course of next 101 days.

MqttChatApplication

A reusable restful web service framework for server side implementation of a chat application.

NaiveBayesClassification

Multinomial and Bernoulli Naive Bayes Classification with laplace Smoothing in Python

PyDeepLearning

Code for Deep Learning Algorithms implemented with Pytorch and Keras

RandomForrest

Repository that contains Random Forrest and Decision Tree implementations with hyperparameter tuning.

aryancodify/Attribution-Modeling-Budget-Optimization

aryancodify/AudioOwl

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

aryancodify/bert-toxicity-classification

bert on Jigsaw Unintended Bias in Toxicity Classification

aryancodify/Books

My book list

aryancodify/caviar

Protein cavity identification and automatic subpocket decomposition

aryancodify/code_snippets

aryancodify/competition

aryancodify/dash-bootstrap-components

Bootstrap components for Plotly Dash

aryancodify/dash-recipes

A collection of scripts and examples created while answering questions from the greater Dash community

aryancodify/deconfounder_tutorial

aryancodify/deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

aryancodify/ECBS

ensemble evolutionary chemical binding similarity

aryancodify/explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

aryancodify/explainx_counterfactuals

A visual counterfactual explanation of predictions by machine learning models. Work adapted from https://arxiv.org/abs/2003.02428.

aryancodify/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

aryancodify/gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

aryancodify/Humpback-Whale-Identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

aryancodify/inltk

Natural Language Toolkit for Indic Languages

aryancodify/InternationalWomensDay

Repository to add the code for women impact

aryancodify/interpretable-deep-model-mta

This is the project that developed for marketing attribution. It is an interpretable deep learning model for marketing problem.

aryancodify/LSTM_Chem

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

aryancodify/Plotly-Dashboards-with-Dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

aryancodify/ProbabilisticGraphicalModels

PGM models for statistical inference

aryancodify/QuoraDuplicateClassification

Approaches to detect duplicate questions on quora

aryancodify/RBM_Topic_Modelling

Restricted boltzmann machine implemented in numpy for topic modelling

aryancodify/SimGNN

aryancodify/timeseries-training

aryancodify/training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

aryancodify/unisal

Unified Image and Video Saliency Modeling (ECCV 2020)

aryancodify/xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding