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academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ameshref

Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D

artificial_intelligence_usc

Part of coursework for CSCI561 USC

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

cracks

pfm-cracks: A Finite Element code for crack propagation

cs231n.github.io

Public facing notes page

damage-course

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science--cheat-sheet

Cheat Sheets

data_mining_inf553_usc

All programming assignments in INF553

data_mining_usc

Part of coursework for INF553 USC

database_system_usc

Part of coursework for CSCI 585 USC

decisiontreewithpruning

Python implementation of decision tree with reduced error pruning

deck-of-cards-python

Code used in the "Python OOP Deck of Cards" video: https://youtu.be/t8YkjDH86Y4

deep-learn-oil

Deep learning tools for predicting oil well data

deeplearning

deepschool.io

Deep Learning tutorials in jupyter notebooks.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

distpy

An Open Source python module for rapid prototyping Distributed Acoustic Sensing (DAS) processing flows

fast-rcnn

Fast R-CNN

generalized_poroelastic_model_fenics

The model code for the poroelastic model assocaited with the article title "A generalized poroelastic model using FEniCS with insights into the Noordbergum effect" by Haagenson et al. published in Computers & Geosciences.

geospatial-workshop

Overview, setup instructions, and data presentation for the Data Carpentry Geospatial Workshop

geostats.jl

An extensible framework for high-performance geostatistics in Julia

geothermal

Standard test case examples of geothermal simulation

gnip-trend-detection

Trend detection algorithms for Twitter time series data

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"