sebastiani Goto Github PK

6.860-statistical-learning-theory

Personal repo where I keep all the papers, lecture notes and homework readily available for myself.

acoustic_modeling

alternative-internet

A collection of interesting new networks and tech aiming at decentralisation (in some form).

androidfirstapp

The code from the tutorial.

artin-algebra

Solutions to Algebra, by Michael Artin.

artist_detection_tutorial

A pytorch tutorial for doing artist detection

arxiv-sanity-lite

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

automated-hall-experiment

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-point-cloud-processing

A curated list of awesome Point Cloud Processing Resources, Libraries, Software

baseline

Baseline models, scoring, and inference

bert-chainer

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

binaryconverter

Converts Decimal to Binary

chainer-glow

Glow: Generative Flow with Invertible 1×1 Convolutions

chevere

Development of Chevere webapp

converterclass

Script for helping me complete a homework

cuml

cuML - RAPIDS Machine Learning Library

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dht_reader

proyecto de capstone... heh

directorymaker

A python program that makes files from names of a text file

ecescraper

A test program used for scraping files on website.

fastdeepnets

fastphotostyle

Style transfer, deep learning, feature transform

funcy

A fancy and practical functional tools

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

grokking-pytorch

The Hitchiker's Guide to PyTorch

haskell-daily-programmer-challenges

My solutions to the Daily Programmer Challenges subreddit(http://www.reddit.com/r/dailyprogrammer) in haskell

haskell-stuff

Haskell practice problems

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

icml-vae-workshop-papers