backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+179.27%)
Mutual labels: text-classification, transfer-learning
KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Stars: ✭ 2,235 (+2625.61%)
Mutual labels: text-classification, transfer-learning
Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: ✭ 22 (-73.17%)
Mutual labels: text-classification, transfer-learning
Chinese ulmfit中文ULMFiT 情感分析 文本分类
Stars: ✭ 208 (+153.66%)
Mutual labels: text-classification, transfer-learning
Bert language understandingPre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Stars: ✭ 933 (+1037.8%)
Mutual labels: text-classification, transfer-learning
ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
Stars: ✭ 94 (+14.63%)
Mutual labels: text-classification, transfer-learning
Text-Classification-PyTorchImplementation of papers for text classification task on SST-1/SST-2
Stars: ✭ 57 (-30.49%)
Mutual labels: text-classification
ERNIE-text-classification-pytorchThis repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.
Stars: ✭ 49 (-40.24%)
Mutual labels: text-classification
nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Stars: ✭ 32 (-60.98%)
Mutual labels: transfer-learning
bns-short-text-similarity📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
Stars: ✭ 24 (-70.73%)
Mutual labels: text-classification
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (-42.68%)
Mutual labels: transfer-learning
fiap-ml-visao-computacionalRepositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
Stars: ✭ 33 (-59.76%)
Mutual labels: transfer-learning
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (-1.22%)
Mutual labels: transfer-learning
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Stars: ✭ 23 (-71.95%)
Mutual labels: text-classification
cozmo-tensorflow🤖 Cozmo the Robot recognizes objects with TensorFlow
Stars: ✭ 61 (-25.61%)
Mutual labels: transfer-learning
mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
Stars: ✭ 98 (+19.51%)
Mutual labels: transfer-learning
NeuralNetworksImplementation of a Neural Network that can detect whether a video is in-game or not
Stars: ✭ 64 (-21.95%)
Mutual labels: transfer-learning
TextClassification基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
Stars: ✭ 86 (+4.88%)
Mutual labels: text-classification