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adgprs

This repository contains MATLAB codes for visualization and plotting simulation results of Stanford ADGPRS (Automatic-Differentiation-based General Purpose Research Simulator).

adgprs_optimization

This repository contains wrappers used to write simulation input files for adgprs-based derivative-free optimization.

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

bayesian_neural_network_papers

Papers for Bayesian-NN

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

chatpdf

Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.

conversational-form

Turning web forms into conversations

dask-examples

datasets

dca

Decline Curve Analysis Tools

deap

Distributed Evolutionary Algorithms in Python

decline_curves_2pointoooh

A new framework for decline curves that account for varying conditions using recurrent neural networks

declinecurveanalysis

Decline Curve Analysis for PEGN 598A Data Analytics

doctorai

Repository for Doctor AI project

freeml

Data Science Resources (Mostly Free)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handytools4astronomers

Collection of scripts Astronomers may find usefull

learnopencv

Learn OpenCV : C++ and Python Examples

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mystic

highly-constrained non-convex optimization and uncertainty quantification

noisyopt

Python library for optimizing noisy functions.

padasip

Python Adaptive Signal Processing

pennai

the Penn AI engine.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pulp

A python Linear Programming API

pyex

Complete Python interface to IEX and IEX cloud APIs

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

python-cookbook-3rd

Python Cookbook, 3rd Edition