Pinned Repositories
BERT-Classification-Tutorial
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.
bert_cn
Chinese sentiment classification based on bert.
caffe
Support LRCN(both rgb and optical-flow). This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
code_for_kaggle_elo
Code for Kaggle Elo Merchant Category Recommendation.
QA
使用深度学习算法实现的中文问答系统
removing-bias-in-multi-modal-classifiers
LMdeLiangMi's Repositories
LMdeLiangMi/bert_cn
Chinese sentiment classification based on bert.
LMdeLiangMi/removing-bias-in-multi-modal-classifiers
LMdeLiangMi/BERT-E2E-ABSA
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)
LMdeLiangMi/bert-multi-gpu
Feel free to fine tune large BERT models with Multi-GPU and FP16 support.
LMdeLiangMi/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
LMdeLiangMi/captum
Model interpretability and understanding for PyTorch
LMdeLiangMi/CCF-BDCI-Sentiment-Analysis-Baseline
The code for CCF-BDCI-Sentiment-Analysis-Baseline
LMdeLiangMi/contextualizing-hate-speech-models-with-explanations
Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"
LMdeLiangMi/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
LMdeLiangMi/debiased
LMdeLiangMi/Deep_metric
Deep Metric Learning Accepted by CVPR-2019
LMdeLiangMi/fast-influence-functions
LMdeLiangMi/fitting-random-labels
Example code for the paper "Understanding deep learning requires rethinking generalization"
LMdeLiangMi/gqa_eval_script
Fixing errors in the evaluation code of GQA dataset
LMdeLiangMi/gqa_single_hop_baseline
A simple but well-performing "single-hop" visual attention model for the GQA dataset
LMdeLiangMi/hans
Heuristic Analysis for NLI Systems
LMdeLiangMi/hierarchical-explanation
Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
LMdeLiangMi/influence-function-analysis
LMdeLiangMi/joycontrol
Emulate Nintendo Switch Controllers over Bluetooth
LMdeLiangMi/LAMB_Optimizer_TF
LAMB Optimizer (TensorFlow version)
LMdeLiangMi/lcgn
Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019
LMdeLiangMi/mac-network
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
LMdeLiangMi/match-lstm
Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
LMdeLiangMi/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
LMdeLiangMi/path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
LMdeLiangMi/Perturbed-Masking
Code for ACL 2020 paper "Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT"
LMdeLiangMi/pytorch_deephash
Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015
LMdeLiangMi/RelationNetworks-CLEVR
A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset
LMdeLiangMi/VC-R-CNN
The official pytorch implementation of CVPR 2020 ``Visual Commonsense R-CNN''
LMdeLiangMi/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