LinkToPast1990's repositories
BERT-E2E-ABSA
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)
bert-multi-gpu
Feel free to fine tune large BERT models with Multi-GPU and FP16 support.
captum
Model interpretability and understanding for PyTorch
CCF-BDCI-Sentiment-Analysis-Baseline
The code for CCF-BDCI-Sentiment-Analysis-Baseline
contextualizing-hate-speech-models-with-explanations
Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"
DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
Deep_metric
Deep Metric Learning Accepted by CVPR-2019
fitting-random-labels
Example code for the paper "Understanding deep learning requires rethinking generalization"
gqa_eval_script
Fixing errors in the evaluation code of GQA dataset
gqa_single_hop_baseline
A simple but well-performing "single-hop" visual attention model for the GQA dataset
hierarchical-explanation
Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
joycontrol
Emulate Nintendo Switch Controllers over Bluetooth
LAMB_Optimizer_TF
LAMB Optimizer (TensorFlow version)
mac-network
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
match-lstm
Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
Perturbed-Masking
Code for ACL 2020 paper "Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT"
pytorch_deephash
Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015
RelationNetworks-CLEVR
A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset
VC-R-CNN
The official pytorch implementation of CVPR 2020 ``Visual Commonsense R-CNN''
VQA2.0-Recent-Approachs-2018.pytorch
A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0