emiljoswin Goto Github PK

anlp-paper-demo

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-network-embedding

A curated list of network embedding techniques.

chrome_savepage

course-v3

The 3rd edition of course.fast.ai

deep-humor-generation-analysis-and-classification-of-humor-using-transformers

Analyse the self-attention patterns in BERT for humor classification and verify the linguistic theory of humor, use GPT-2 to create humor from user prompt

deep_learning_notes

a collection of my notes on deep learning

deeplearning.ai_notes

Notes for Andrew Ng's courses on deep learning

docker-project

fast.ai_notes

Notes for fast.ai courses: intro to ML, Practical DL and Cutting edge DL.

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-experiments2

image-captioning-vaes-and-gans-for-face-generation

Part of an optional assignment from CV class

kaggle-google-quest

Attempt to solve https://www.kaggle.com/c/google-quest-challenge using only LSTMs

ml-murphy

Solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" by K. Murphy

notebook

Jupyter Interactive Notebook

notes

pagevista

papers

Some serious paper readings and note takings.

pitchperfect

Learning iOS

pyapns

Python library for interacting with the Apple Push Notification service (APNs)

relation-extraction-via-attention

Relation extraction as per Task 8 of SemEval (2010) using attention

rl-fun

Dabbling with Reinforcement Learning for fun

search-engine

search engine comprising of simple custom made crawler.

simple-docker

test

the-gan-zoo

A list of all named GANs!

tsp-using-mapreduce

TSp using mapreduce of google employing the monte-carlo approximation method