ChanLIM

ChanLIM's Stars

• ducha-aiki/pytorch-sift

  PyTorch implementation of SIFT descriptor

  Language:Jupyter Notebook16616

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.8k752

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k536

• kazuto1011/grad-cam-pytorch

  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

  Language:Python788172

• ildoonet/pytorch-randaugment

  Unofficial PyTorch Reimplementation of RandAugment.

  Language:Python63099

• chenjie/PyTorch-CIFAR-10-autoencoder

  This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.

  Language:Python7016

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.6k22.8k

• alinlab/cs-kd

  Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

  Language:Python10722

• leftthomas/SimCLR

  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  Language:Python543111

• gorkemalgan/deep_learning_with_noisy_labels_literature

  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

  23531

• j-marple-dev/model_compression

  PyTorch Model Compression

  Language:Python23025

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.2k279

• openai/gpt-3

  GPT-3: Language Models are Few-Shot Learners

  15.7k2.3k

• yoongi0428/neptune_logger

  Sample logger class to introduce Neptune.ai

  Language:Python4

• DeepVoltaire/AutoAugment

  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

  Language:Jupyter Notebook1.5k199

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.5k463

• 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:Python4.3k1.2k

• SanghyukChun/SanghyukChun.github.io

  Sanghyuk's Github pages blog using octropress

  Language:HTML102

• joeynmt/joeynmt

  Minimalist NMT for educational purposes

  Language:Python679212

• ydkim1293/NLNL-Negative-Learning-for-Noisy-Labels

  NLNL: Negative Learning for Noisy Labels

  Language:Python10423

• jcpeterson/cifar-10h

  Original dataset release for CIFAR-10H

  825

• chenpf1025/noisy_label_understanding_utilizing

  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

  Language:Python9023

• kweonwooj/papers

  summary of ML papers I've read

  31934

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.3k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.4k7.3k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.3k8.1k

• Kyubyong/wordvectors

  Pre-trained word vectors of 30+ languages

  Language:Python2.2k391

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook482155

• neubig/mtandseq2seq-code

  Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models

  Language:Python3410