atcodedog32

2018-cycle-2

Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.

ADR-Classification-through-tweet-senti-analysis-

Using nltk and Random forest classifier

Airmouse

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Apche-pySpark

Using PySpark to explore the DataSets

Applied-Deep-Learning

Applied Deep Learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ARIMA_MODEL

assembly_ai

tweet-seniment-analysis

atcodedog32/tweet-seniment-analysis

atcodedog32/Airmouse

atcodedog32/AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

atcodedog32/Apche-pySpark

Using PySpark to explore the DataSets

atcodedog32/Applied-Deep-Learning

Applied Deep Learning

atcodedog32/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

atcodedog32/assembly_ai

atcodedog32/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

atcodedog32/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

atcodedog32/GCPSketchnote

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

atcodedog32/GFPGAN

atcodedog32/github-slideshow

A robot powered training repository :robot:

atcodedog32/learnopencv

Learn OpenCV : C++ and Python Examples

atcodedog32/llama

Inference code for LLaMA models

atcodedog32/Machine-Learning-Books-With-Python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

atcodedog32/materials

Bonus materials, exercises, and example projects for our Python tutorials

atcodedog32/math-tools-nyu

DS-GA 1013 Mathematical Tools for Data Science

atcodedog32/ML-For-Beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

atcodedog32/MLOps-Basics

atcodedog32/pandapy

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

atcodedog32/Parsr

Transforms PDF, Documents and Images into Enriched Structured Data

atcodedog32/programming-dp

atcodedog32/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

atcodedog32/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

atcodedog32/pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

atcodedog32/responsible-ai-toolbox

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

atcodedog32/RPA-Python

Python package for doing RPA

atcodedog32/smartnoise-samples

Code samples and documentation for SmartNoise differential privacy tools

atcodedog32/SynapseML

Simple and Distributed Machine Learning

atcodedog32/Tutorials

Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related