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learnml icon learnml

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

machine-learning-notebooks icon machine-learning-notebooks

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

mdos icon mdos

MDOS motif discovery using orthologous sequences (alignment independent)

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

naivechain icon naivechain

A blockchain implementation in 200 lines of code

nlptutorial icon nlptutorial

A Tutorial about Programming for Natural Language Processing

nmt-tips icon nmt-tips

A tutorial about neural machine translation including tips on building practical systems

pyportfolioopt icon pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pytorch-unet icon pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

rlntm icon rlntm

An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521

sippycup icon sippycup

SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.

spinn icon spinn

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

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