dineshchauhan Goto Github PK

airflow-maintenance-dags

A series of DAGs/Workflows to help maintain the operation of Airflow

annotated-fastai-notebooks

Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson

bart-vs-homer

Bart vs. Homer recognition task to spot and fix data leakage.

bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

building-a-classifer-with-pytorch

This project includes all what you need to build a classifier with Pytorch on the Google Colab platform (for using free GPUs)

corpora

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

course-nlp

A Code-First Introduction to NLP course

course-v3

The 3rd edition of course.fast.ai - coming in 2019

course-v4

For Google Colab Users

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

datalab-samples

datasciencecoursera

Data Science Course

datasharing

The Leek group guide to data sharing

deep-learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deeplearning

Practice notebooks for Deepleaning

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-a-code-first-introduction-to-natural-language-processing-twiml-study-group

For the TWiML NLP Study Group. We review the fast.ai course "A Code-First Introduction to Natural Language Processing", created by Rachel Thomas, of The Data Institute | University of San Francisco. This repository contains the original Jupyter notebooks, plus annotated versions (with suffix `_jcat.ipynb`), as well as other materials I am developing for the Study Group, such as slide decks for the weekly Zoom meetups.

fastai-deep-learning-2019-part-2-resources

Repository to hold code, papers, and various other resources for the "Deep Learning from Foundations" course taught in 2019.

fastai-deep-learning-from-the-foundations-twiml-study-group

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

fastai-dl2-2019-resources-notes

notes and resources from the 2019 version of the fastai dl2 course

fastai-practical-deep-learning-for-coders-twiml-study-group

Annotated, refactored notebooks and other materials created for the Fastai course; also has the original notebooks pulled from Fastai's git repository on 1/07/2020

fastai-pytorch-course-vienna

Fastai v1 & PyTorch v1 Course in Vienna

fastai-v3

Starter app for fastai v3 model deployment on Render

fastai2

Temporary home for fastai v2 while it's being developed

fastai_dl2_v3

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)