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30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

30_seconds_of_knowledge

Google Chrome Extension that lets you gain new developer skills, every time you open a New Tab.

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

aind-nlp-bookworm

A simple question-answering system built using IBM Watson's NLP services.

aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

aind2-nlp-capstone

alpaca_tech_screener

alpha-scientist

an-introduction-to-applied-bioinformatics

Interactive lessons in bioinformatics.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

attention

some attention implements

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

caffe

Caffe

canton

yet another DL framework

cat-dog-classifier

Cat Dog Classifier

categorical-encoding

A library of sklearn compatible categorical variable encoders

chandlerzuo.github.io

My blog.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

classifying_data_using_a_support_vector_machine

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

cnn01

GitHub repository for AWS CodeStar Python web service cnn01.

cnnwsr

Convolutional neural networks for wavelet domain super resolution

code-line-counter

Python script for iterating directory and outputting total line counts for all file types

conos

Clustering on Network of Samples

convlstm

Convolutional LSTM for video segmentation with Keras

convolution_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow