dypark86

dypark86's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.6k2271182.8k

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.1k24819819

• zylo117/Yet-Another-EfficientDet-Pytorch

  The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

  Language:Jupyter Notebook5.2k1087161.3k

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.5k74717670

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.1k35811.2k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4k47197620

• hibayesian/awesome-automl-papers

  A curated list of automated machine learning papers, articles, tutorials, slides and projects

  4k2236698

• podgorskiy/ALAE

  [CVPR2020] Adversarial Latent Autoencoders

  Language:Python3.5k8569559

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  2.7k272470

• 666DZY666/micronet

  micronet, 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

  Language:Python2.2k40109478

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.1k1756390

• rwightman/efficientdet-pytorch

  A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

  Language:Python1.6k29174291

• bojone/vae

  a simple vae and cvae from keras

  Language:Python1.2k2314375

• google-research/lottery-ticket-hypothesis

  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

  Language:Python7053214137

• alexa/bort

  Repository for the paper "Optimal Subarchitecture Extraction for BERT"

  Language:Python469151139

• martius-lab/blackbox-backprop

  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

  Language:Python33313737

• clovaai/assembled-cnn

  Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

  Language:Python32921741

• sseung0703/KD_methods_with_TF

  Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

  Language:Python265131559

• yuanli2333/CKA-Centered-Kernel-Alignment

  Reproduce CKA: Similarity of Neural Network Representations Revisited

  Language:Python2646533

• RizhaoCai/PyTorch_ONNX_TensorRT

  A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

  Language:Python24231357

• xuguodong03/SSKD

  [ECCV2020] Knowledge Distillation Meets Self-Supervision

  Language:Python23381347

• j-marple-dev/model_compression

  PyTorch Model Compression

  Language:Python229161025

• karanchahal/distiller

  A large scale study of Knowledge Distillation.

  Language:Python2149530

• chueh-ermon/battery-fast-charging-optimization

  This repository contains much of the data, code, and visualizations associated with this manuscript:

  Language:Python863132

• alex000kim/XMeans

  Parameter-free K-means clustering: X-means

  Language:Python51103

• mit-han-lab/neurips-micronet

  [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion

  Language:Jupyter Notebook391037

• iteapoy/SSIM-Loss

  calculate ssim loss via tensorflow, RGB or grayscale

  Language:Python18107

• stefanoteso/calimocho

  Explanatory Interactive Machine Learning with Self-explaining Neural Networks

  Language:Python5413

• shpotes/lottery-ticket-hypothesis

  TensorFlow reimplementation of The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  Language:Python2201

• feitiandemiaomi/tf-openpose

  Openpose from CMU implemented using Tensorflow

  Language:Python1200