SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (+15%)
Mutual labels: pruning, transfer-learning
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+19500%)
Mutual labels: hyperparameter-optimization, transfer-learning
sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Stars: ✭ 264 (+1220%)
Mutual labels: pruning, transfer-learning
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Stars: ✭ 14 (-30%)
Mutual labels: transfer-learning
mutableState containers with dirty checking and more
Stars: ✭ 32 (+60%)
Mutual labels: flux
Open set domain adaptationTensorflow Implementation of open set domain adaptation by backpropagation
Stars: ✭ 27 (+35%)
Mutual labels: transfer-learning
ATMC[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
Stars: ✭ 41 (+105%)
Mutual labels: pruning
textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-20%)
Mutual labels: hyperparameter-optimization
LegoBrickClassificationRepository to identify Lego bricks automatically only using images
Stars: ✭ 57 (+185%)
Mutual labels: transfer-learning
MoeFlowRepository for anime characters recognition website, powered by TensorFlow
Stars: ✭ 113 (+465%)
Mutual labels: transfer-learning
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+180%)
Mutual labels: pruning
TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
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Mutual labels: transfer-learning
ml-pipelineUsing Kafka-Python to illustrate a ML production pipeline
Stars: ✭ 90 (+350%)
Mutual labels: hyperparameter-optimization
k8s-gitopsHomelab GitOps repository. Cluster definition state via code.
Stars: ✭ 47 (+135%)
Mutual labels: flux
paper annotationsA place to keep track of all the annotated papers.
Stars: ✭ 96 (+380%)
Mutual labels: transfer-learning
ProxGradPytorchPyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Stars: ✭ 28 (+40%)
Mutual labels: hyperparameter-optimization
task-transferabilityData and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
Stars: ✭ 35 (+75%)
Mutual labels: transfer-learning
