Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
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Updated
Oct 7, 2020 - Jupyter Notebook
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
IPython Notebook showing pytorch implementation of Google DeepMind paper on Relation Network
An implementation of the "A simple neural network module for relational reasoning" paper in NIPS 2017
A collection of some nice papers/research articles.
Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.
Z-Forcing: Training Stochastic Recurrent Networks for Speech Modelling
analysis of configuration files in NIPS 2017 research repositories
Decathlon Multiple Visual Domains with Residual Adapters in Keras
NIPS 2017 Paper implementation challenge Learning Linear Dynamic Systems via Spectral Filtering
Tensorflow Implementation of adversarial learning based adversarial example generator
Selective Classification For Deep Neural Networks.
Fast-Slow Recurrent Neural Networks
Reproduction code for WGAN-LP
Chainer implementation of the paper "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results" (https://arxiv.org/abs/1703.01780)
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
Code for NIPS 2017 learning to run challenge
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Binary Convolution Network for faster real-time processing in ASICs
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