sha-rnn. Single Headed Attention RNN - "Stop thinking with your head"
1.2kkeras_snli. Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
265trending_arxiv. Track trending arXiv papers on Twitter from within your circle
178bitflipped. Your computer is a cosmic ray detector. Literally.
112search_iclr_2018. HTML
78cc-warc-examples. CommonCrawl WARC/WET/WAT examples and processing code for Java + Hadoop
56tf-ham. A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
52right_whale_hunt. Annotated faces for NOAA Right Whale Recognition Kaggle competition
35keras_qa. Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline
33bifurcate-rs. Zero dependency images (of chaos) in Rust
31search_iclr_2019. HTML
30texting_robots. Texting Robots: A Rust native `robots.txt` parser with thorough unit testing
28govarint. A variable length integer compression library for Golang
24montelight-cpp. Faster raytracing through importance sampling, rejection sampling, and variance reduction
24Snippets. Useful code snippets that I'd rather not lose
19gzipstream. gzipstream allows Python to process multi-part gzip files from a streaming source
17cs205_ga. How deep does Google Analytics go? Efficiently tackling Common Crawl using AWS & MapReduce
17pubcrawl. *Deprecated* A short and sweet Python web crawler using Redis as the process queue, seen set and Memcache style rate limiter for robots.txt
16pytorch-lamb. Implementation of https://arxiv.org/abs/1904.00962
15FlashGraph. A SSD-based graph processing engine for billion-node graphs
12cc-mrjob. Demonstration of using Python to process the Common Crawl dataset with the mrjob framework
8cc-quick-scripts. Useful scripts for attacking the CommonCrawl dataset and WARC/WET/WAT files
7smerity_flask. Smerity.com website generated using (naive) custom Python code, Flask & Frozen-Flask
7gopagerank. PageRank implemented in Go for large graphs (billions of edges)
6yolo-cpp. YOLO C++: A crash course for those needing to learn street fighting C++
6pytorch-qrnn. PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
4Hip-Flask. *Deprecated*
4texting_robots_cc_test. Texting Robots: Common Crawl `robots.txt` Test
3glove-guante. Exploration of Global Vectors for Word Representation (GloVe)
3grimrepo. Automatically create and set remote private Git repositories at BitBucket
2BoxOfPrimes. Fast pseudo-random prime number generator for n bits using the OpenSSL library
2text. Python
2Teneo. Java
2tableau. Group 2's Tableau app from NCSS 2014
2keras. Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
2graphx-prank. GraphX P[age]Rank -- PageRank runner for large graphs
2comp3109_assignment1. Nick and Smerity's assignment
2vowpal_wabbit. John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
1Manual. You were probably looking for our website... this is it. We moved our website here, so you can see the insides of how we work.
1gogorobot. Exploratory robots.txt crawler written in Go
1smerity.github.com. HTML
1vimfiles. Vim Script
1FacebookFriends. Plugin for Vanilla Forums: Shows the real name of any of your Facebook friends on the Vanilla Forum
1sentencepiece. Unsupervised text tokenizer for Neural Network-based text generation.
1lockoutbot. Example for NCSS - making lockoutbot <3
1learn-golang. Learn Go in 10 days - a set of hands on tutorials
1Garden. Vanilla is an open-source discussion forum for the web. It is built upon Garden, our pluggable application development framework.
1real_world_algorithms. Notes from the Real World Algorithms course at Sydney University
1rosettafight. Rosetta Fight: Quick Lookup and Comparison on Rosetta Code Languages
1stat183_madness. March Madness
1NLP-progress. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
1kaggle_connectomics. Connectomics: Predicting the directed connections between 1,000 neurons using neural activity time series data
1cs281_edge_estimator. CS281 Final Project: Estimate edge weights given multiple page view samples
1fknn. Fast KNN for large scale multiclass problems
1