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accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

advanced-python-working-with-data-4312001

This is a repository for the LinkedIn Learning course Advanced Python: Working With Data

ai_software_dev

Main repository for my AI and software development work.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anti-money-laundering-using-keras

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

asl_to_english

Reads your hand signs and translates them to English words using Tensorflow object detection API

av-wns-analytics-wizard-2019

WNS Analytics Wizard 2019 - War of Wizards organised by Analytics Vidya

azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

beginners-python-examples

Basic Python CLI programs

benford-s-law_python_code

a Python program that loads numerical data, records the frequency of occurrence of the first digits, compares these to Benford’s law using the chisquare goodnessoffit test, and presents the comparison in both tabular and graphical form.

bert-extractive-summarizer

Easy to use extractive text summarization with BERT

biopython

Official git repository for Biopython (converted from CVS)

categoricaloutlier

Provides an anomaly score for categorical and date time data

co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

code-20220303-danieljadi

cognitive-services-quickstart-code

Code Examples used by the Quickstarts in the Cognitive Services Documentation

competitive_programming_course

A completely free course on data structures , algorithms and competitive programming.

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

coronavirus-py

Simple web app showing Coronavirus case data using Python, Dash and Plotly

covid19india-network

:microscope: COVID 19 India network cluster

cp-barebone-movie-app-final

This is the REAL working version of the Django Movie Web App

customersegmentation

Analysis for Customer Segmentation

daniel

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datadrivendaily

Code and examples from the Data Driven Daily newsletter (http://datadrivendaily.io)

dataset-comparison

The purpose of this Python program is to take a dataset (CSV format) of OCR field data extracted from a set of documents and compare each data entry field by field for matches with another truth dataset containing the correct values. The program reads each dataframe from the CSV files, compares the data for matches, and outputs a dataset of all the nonmatching data as well as the percentage of accuracy (matches) for each field to Excel.

dec

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)