Introspective Distillation (IntroD)
This repository is the Pytorch implementation of our paper "Introspective Distillation for Robust Question Answering" in NeurIPS 2021. The code will be released before the conference.
[NeurIPS 2021] Introspective Distillation for Robust Question Answering
Overview
This repository is for Competition for ML_data class
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Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.
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A python module for scientific analysis of 3D objects based on VTK and Numpy
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📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.
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Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
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Making a music video with Wav2CLIP and VQGAN-CLIP
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Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
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A Player for Kanye West's Stem Player. Sort of an emulator.
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Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning
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Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
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Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.
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Easily pull telemetry data and create beautiful visualizations for analysis.
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Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
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