krishparadox Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai-building-blocks

Fundamentals of programming necessary to write software leveraging state of the art ML algorithms

aicoustic_sample

Sample version for R&D of AIcoustic.io

anovos

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

arduino

ESP8266 core for Arduino

backend

biometrics

fingerprint recognition, etc.

blog

butterfree

A tool for building feature stores.

connekt

First Commit

dappcointest

Implementation of a basic ERC-20 token using smart contracts.

dataset-cfpd

deeplearning.ai-notes-tess

Vivid notes from Andrew Ng's deeplearning.ai course by Tess Fernandez

deepspeech

exploring deep learning: speech

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

emr-jobs-monitor

encoder-decoder-text-summarizer

foodgo

football-predictor

Using a Deep Neural Network (DNN) to predict the results of Premier League Football Matches

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

frontend

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-to-generate-mnist-characters

hyperspace-chattels

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

krishparadox

Config files for my GitHub profile.

krishparadox.github.io

lstm-city-names

Predicting new city names from the US Cities dataset

machine-learning-basics-in-python

Basic python codes for various machine learning methods like regression, regularisation, error calculation, curve fitting, classification, SVMs, Logistic Regression etc

mqtt

MQTT Test