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
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion
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Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)
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Unofficial PyTorch Implementation of AHDRNet (CVPR 2019)
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A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
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The official implementation of CVPR 2021 Paper: Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.
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PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
DiscoGAN in PyTorch PyTorch implementation of Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. * All samples in READM
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pixelNeRF: Neural Radiance Fields from One or Few Images
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Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
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CoINN: Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
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[AAAI2022] Source code for our paper《Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning》
SSVC The source code for paper [Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning] samples of the
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Disagreement-Regularized Imitation Learning
Due to a normalization bug the expert trajectories have lower performance than the rl_baseline_zoo reported experts. Please see the following link in
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Code for the paper "Next Generation Reservoir Computing"
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105 Dec 20, 2022
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
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An implementation of chunked, compressed, N-dimensional arrays for Python.
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(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework
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Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.
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Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"
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EMNLP 2021 paper The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.
Codebase for training transformers on systematic generalization datasets. The official repository for our EMNLP 2021 paper The Devil is in the Detail:
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Predictive Modeling on Electronic Health Records(EHR) using Pytorch
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An implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks in PyTorch.
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84 Jan 04, 2023