GusSand

GusSand's Stars

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell89.2k3.1k2435.8k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.2k780402.4k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.4k4797762.5k

• stanfordnlp/CoreNLP

  CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

  Language:Java9.7k4901.1k2.7k

• aphyr/distsys-class

  Class materials for a distributed systems lecture series

  9.1k4135681

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k3521.3k1.9k

• pwndbg/pwndbg

  Exploit Development and Reverse Engineering with GDB Made Easy

  Language:Python7.8k136967908

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134892.2k

• fluentpython/example-code

  Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

  Language:Python5.6k297262.2k

• spotify/chartify

  Python library that makes it easy for data scientists to create charts.

  Language:Python3.5k8975325

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.6k48166296

• mixu/distsysbook

  The book Distributed systems: for fun and profit

  Language:HTML2.6k10726248

• osirislab/Hack-Night

  Hack Night is an open weekly training session run by the OSIRIS lab.

  Language:Python1.2k1867258

• mbeyeler/opencv-machine-learning

  M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

  Language:Jupyter Notebook804647457

• ariseff/overcoming-catastrophic

  Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

  Language:Jupyter Notebook30015398

• kuc2477/pytorch-ewc

  Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

  Language:Python2698745

• sdrangan/introml

  Python tutorials for introduction to machine learning

  Language:Jupyter Notebook267495401

• geudrik/peloton-client-library

  Python Client Library to interact with parts of the Peloton API

  Language:Python22531756

• ankeshanand/neural-cryptography-tensorflow

  Neural Networks that invent their own encryption :key:

  Language:Python19319450

• slanglab/phrasemachine

  Quickly extract multi-word phrases from a corpus

  Language:Python19062026

• whyisyoung/CADE

  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

  Language:Python1323334

• pykello/arunos

  A simple operating system for ARM processors

  Language:C12512318

• endgameinc/youarespecial

  Language:Python9313426

• goodfeli/forgetting

  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

  Language:Python678121

• maelfabien/maelfabien.github.io

  My personal data science blog

  Language:HTML263012

• rutum/pynlp

  Language:Python155030

• nyu-ds/golabs-2016

  Distributed Programming Assignments in Golang

  Language:Go121036

• gjreda/talks

  Materials for talks I've given at various events

  4302

• adamsanghera/DSMaterials

  This is the collection of the materials I produced as a TA for the Distributed Systems course in Fall 2018

  Language:Shell12