najmehta Goto Github PK

ai_assignment2

Cancer - Detection and Segmentation

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

cs-330-deep-multi-task-and-meta-learning

https://cs330.stanford.edu/

data-wrangling-pandas

his practical workshop on “Data Wrangling with Python and Pandas” gives students a hands-on experience to master the essential techniques of data wrangling.

datasciencecoursera

datasciencecoursera-1

https://github.com/jtleek/datasharing

datasciencecoursera1

Coursera online course project

datasharing

The Leek group guide to data sharing

drug-computing

Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

enlighten-integration

Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R.

google-research

Google Research

gym-pull

Add-on for OpenAI Gym that supports automatic downloading of user environments.

healthcareai-py

Python tools for healthcare machine learning

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-coursera-project-

This repro contains of rmd. file for the machine learning course project comes with HTML R.markdown file

markdown

Markdown rendering for R

ml-ai-research-papers---solved

This repository contains everything you need to become proficient in ML/AI Research and Research Papers

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

odsc_2023

Statistics for Data Science and Measurement

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

phd-thesis-najmeh

Preprocessing techniques used my thesis and also TOGA which is a novel feature selection method that I have used for treating vibrational spectra in my PhD project

phd-thesis-template-oriented-genetic-algorithm-

TOGA is a feature selection technique which I have used in my PhD thesis to select essential features in my spectra.

project

Coursera

project-coursera

projectml