Bigdata18Transfer learning for time series classification
Stars: β 284 (-62.33%)
pydiogmentπ£ Python library for audio augmentation
Stars: β 64 (-91.51%)
InstaboostCode for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
Stars: β 368 (-51.19%)
Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
Stars: β 293 (-61.14%)
revolverREVOLVER - Repeated Evolution in Cancer
Stars: β 52 (-93.1%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: β 416 (-44.83%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: β 46 (-93.9%)
Sketch CodeKeras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Stars: β 4,544 (+502.65%)
Meta-Fine-Tuning[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
Stars: β 29 (-96.15%)
Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: β 346 (-54.11%)
Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Stars: β 319 (-57.69%)
Meta Transfer LearningTensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Stars: β 439 (-41.78%)
Transfer NlpNLP library designed for reproducible experimentation management
Stars: β 287 (-61.94%)
EasytransferEasyTransfer is designed to make the development of transfer learning in NLP applications easier.
Stars: β 563 (-25.33%)
L2cLearning to Cluster. A deep clustering strategy.
Stars: β 262 (-65.25%)
TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
Stars: β 399 (-47.08%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: β 23 (-96.95%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: β 642 (-14.85%)
Data Augmentation Zoo for Object DetectionIncludes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
Stars: β 126 (-83.29%)
rmpe dataset serverRealtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
Stars: β 14 (-98.14%)
AugmentorImage augmentation library in Python for machine learning.
Stars: β 4,594 (+509.28%)
Grapy-ML(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Stars: β 50 (-93.37%)
Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
Stars: β 339 (-55.04%)
Pytorch RandaugmentUnofficial PyTorch Reimplementation of RandAugment.
Stars: β 323 (-57.16%)
tradaboostTransfer learning algorithm TrAdaboost,coded by python
Stars: β 96 (-87.27%)
CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: β 452 (-40.05%)
XvisionChest Xray image analysis using Deep learning !
Stars: β 304 (-59.68%)
Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
Stars: β 567 (-24.8%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: β 3,920 (+419.89%)
AudiomentationsA Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Stars: β 439 (-41.78%)
He4oεοΌhe for objective-cοΌ ββ βδΏ‘ζ―η΅εζΊη³»η»β
Stars: β 284 (-62.33%)
Toolboxvarious cv tools, such as label tools, data augmentation, label conversion, etc.
Stars: β 279 (-63%)
XlearnTransfer Learning Library
Stars: β 406 (-46.15%)
HubA library for transfer learning by reusing parts of TensorFlow models.
Stars: β 3,007 (+298.81%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: β 543 (-27.98%)
AITQAresources for the IBM Airlines Table-Question-Answering Benchmark
Stars: β 12 (-98.41%)
Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Stars: β 368 (-51.19%)
minutesπ Speaker diarization via transfer learning
Stars: β 25 (-96.68%)
TorchioMedical image preprocessing and augmentation toolkit for deep learning
Stars: β 708 (-6.1%)
SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Stars: β 46 (-93.9%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.π π¨βπ»π₯ π©π
Stars: β 21 (-97.21%)
Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: β 22 (-97.08%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: β 346 (-54.11%)
ObjectNetPyTorch implementation of "Pyramid Scene Parsing Network".
Stars: β 15 (-98.01%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: β 344 (-54.38%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: β 461 (-38.86%)
RexnetOfficial Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Stars: β 319 (-57.69%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: β 738 (-2.12%)
Naacl transfer learning tutorialRepository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
Stars: β 687 (-8.89%)
DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Stars: β 628 (-16.71%)
TtachImage Test Time Augmentation with PyTorch!
Stars: β 455 (-39.66%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: β 326 (-56.76%)