graphtransRepresenting Long-Range Context for Graph Neural Networks with Global Attention
Stars: ✭ 45 (-8.16%)
Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Stars: ✭ 26 (-46.94%)
BMTSource code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)
Stars: ✭ 192 (+291.84%)
awesome-transformer-searchA curated list of awesome resources combining Transformers with Neural Architecture Search
Stars: ✭ 194 (+295.92%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-69.39%)
ru-dalleGenerate images from texts. In Russian
Stars: ✭ 1,606 (+3177.55%)
t5-japaneseCodes to pre-train Japanese T5 models
Stars: ✭ 39 (-20.41%)
pytorch-lr-schedulerPyTorch implementation of some learning rate schedulers for deep learning researcher.
Stars: ✭ 65 (+32.65%)
SegSwap(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Stars: ✭ 46 (-6.12%)
GNNLens2Visualization tool for Graph Neural Networks
Stars: ✭ 155 (+216.33%)
Transformers-RLAn easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
Stars: ✭ 107 (+118.37%)
php-serializerSerialize PHP variables, including objects, in any format. Support to unserialize it too.
Stars: ✭ 47 (-4.08%)
transformerBuild English-Vietnamese machine translation with ProtonX Transformer. :D
Stars: ✭ 41 (-16.33%)
bytekitJava 字节操作的工具库(不是字节码的工具库)
Stars: ✭ 40 (-18.37%)
SSE-PTCodes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
Stars: ✭ 103 (+110.2%)
SelfGNNA PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
Stars: ✭ 24 (-51.02%)
LR-GCCFRevisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Stars: ✭ 99 (+102.04%)
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (-6.12%)
ToxicToxic Comment Classification Challenge
Stars: ✭ 253 (+416.33%)
ViTs-vs-CNNs[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
Stars: ✭ 145 (+195.92%)
query-selectorLONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
Stars: ✭ 63 (+28.57%)
sb-nmtCode for Synchronous Bidirectional Neural Machine Translation (SB-NMT)
Stars: ✭ 66 (+34.69%)
grbGraph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
Stars: ✭ 70 (+42.86%)
seq2seq-pytorchSequence to Sequence Models in PyTorch
Stars: ✭ 41 (-16.33%)
libaiLiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
Stars: ✭ 284 (+479.59%)
fast retrainingShow how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (+14.29%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (-51.02%)
nested-transformerNested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
Stars: ✭ 174 (+255.1%)
demo-routenetDemo of RouteNet in ACM SIGCOMM'19
Stars: ✭ 79 (+61.22%)
VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Stars: ✭ 151 (+208.16%)
capeContinuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
Stars: ✭ 29 (-40.82%)
MASTER-pytorchCode for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)
Stars: ✭ 263 (+436.73%)
fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Stars: ✭ 421 (+759.18%)
Artificial Intelligence Deep Learning Machine Learning TutorialsA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Stars: ✭ 2,966 (+5953.06%)
how attentive are gatsCode for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Stars: ✭ 200 (+308.16%)
Cross-lingual-SummarizationZero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
Stars: ✭ 28 (-42.86%)
vietnamese-robertaA Robustly Optimized BERT Pretraining Approach for Vietnamese
Stars: ✭ 22 (-55.1%)
Kaggle HpaCode for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Stars: ✭ 226 (+361.22%)
NyaggleCode for Kaggle and Offline Competitions
Stars: ✭ 209 (+326.53%)
R-MeNTransformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
Stars: ✭ 74 (+51.02%)
RioGNNReinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Stars: ✭ 46 (-6.12%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (+300%)
densecapDense video captioning in PyTorch
Stars: ✭ 37 (-24.49%)
GalaXCGalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
Stars: ✭ 28 (-42.86%)