Few-shot-NLEs
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"
Overview
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
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An open-source Deep Learning Engine for Healthcare that aims to treat & prevent major diseases
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LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae
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PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
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This repository is for the preprint "A generative nonparametric Bayesian model for whole genomes"
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Trainable PyTorch reproduction of AlphaFold 2
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AgML is a comprehensive library for agricultural machine learning
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[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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Biomarker identification for COVID-19 Severity in BALF cells Single-cell RNA-seq data
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Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
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Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.
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A PyTorch Implementation of the Luna: Linear Unified Nested Attention
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Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s
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The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
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天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
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CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
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Self-supervised spatio-spectro-temporal represenation learning for EEG analysis
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The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
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