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Ran Wang's Projects

capsule-networks icon capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

continuous-bag-of-words icon continuous-bag-of-words

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It is a model that tries to predict words given the context of a few words before and a few words after the target word.

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-wordemb icon pytorch-wordemb

Load pretrained word embeddings (word2vec, glove format) into torch.FloatTensor for PyTorch

rwang92.github.io icon rwang92.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

soft-decision-tree icon soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

tensorlang icon tensorlang

Tensorlang, a differentiable programming language based on TensorFlow

torchdiffeq icon torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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