nuxt-prune-html🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering
Stars: ✭ 69 (+176%)
DistillerNeural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Stars: ✭ 3,760 (+14940%)
RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Stars: ✭ 69 (+176%)
pytorch-convcnpA PyTorch Implementation of Convolutional Conditional Neural Process.
Stars: ✭ 41 (+64%)
GAN-LTH[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
Stars: ✭ 24 (-4%)
svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Stars: ✭ 38 (+52%)
Lottery Ticket Hypothesis In PytorchThis repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
Stars: ✭ 162 (+548%)
cosine-ood-detectorHyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
Stars: ✭ 30 (+20%)
Selecsls PytorchReference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Stars: ✭ 251 (+904%)
ViNetViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction
Stars: ✭ 36 (+44%)
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (+696%)
Text-Classification-LSTMs-PyTorchThe aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
Stars: ✭ 45 (+80%)
ActiveSparseShifts-PyTorchImplementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
Stars: ✭ 27 (+8%)
Awesome Edge Machine LearningA curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Stars: ✭ 139 (+456%)
Filter GraftingFilter Grafting for Deep Neural Networks(CVPR 2020)
Stars: ✭ 110 (+340%)
Adventures In Tensorflow LiteThis repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Stars: ✭ 79 (+216%)
MolDQN-pytorchA PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Stars: ✭ 58 (+132%)
GraspCode for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
Stars: ✭ 58 (+132%)
neuro-symbolic-ai-socNeuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
Stars: ✭ 41 (+64%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-32%)
VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Stars: ✭ 151 (+504%)
DS-Net(CVPR 2021, Oral) Dynamic Slimmable Network
Stars: ✭ 204 (+716%)
SkimcaffeCaffe for Sparse Convolutional Neural Network
Stars: ✭ 230 (+820%)
NncfPyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Stars: ✭ 218 (+772%)
MobileHumanPoseThis repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
Stars: ✭ 206 (+724%)
Torch PruningA pytorch pruning toolkit for structured neural network pruning and layer dependency maintaining.
Stars: ✭ 193 (+672%)
torchpruneA research library for pytorch-based neural network pruning, compression, and more.
Stars: ✭ 133 (+432%)
Kd libA Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Stars: ✭ 173 (+592%)
onnOnline Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
Stars: ✭ 139 (+456%)
HrankPytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
Stars: ✭ 164 (+556%)
DocuNetCode and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
Stars: ✭ 84 (+236%)
NGCF-PyTorchPyTorch Implementation for Neural Graph Collaborative Filtering
Stars: ✭ 200 (+700%)
Cen[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)
Stars: ✭ 112 (+348%)
deep-compressionLearning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
Stars: ✭ 156 (+524%)
Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Stars: ✭ 1,232 (+4828%)
cycleGAN-PyTorchA clean and lucid implementation of cycleGAN using PyTorch
Stars: ✭ 107 (+328%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+136%)
Ntaggerreference pytorch code for named entity tagging
Stars: ✭ 58 (+132%)
DelvePyTorch and Keras model training and layer saturation monitor
Stars: ✭ 49 (+96%)
Awesome PruningA curated list of neural network pruning resources.
Stars: ✭ 1,017 (+3968%)
Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
Stars: ✭ 37 (+48%)
PyTorch-Deep-CompressionA PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
Stars: ✭ 39 (+56%)
Model OptimizationA toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Stars: ✭ 992 (+3868%)
triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Stars: ✭ 79 (+216%)