Alternatives and similar repositories for Image-Captioning-with-Beam-Search

Users that are interested in Image-Captioning-with-Beam-Search are comparing it to the libraries listed below

• suetAndTie / cycle-image-gan
  ☆28Updated 5 years ago
• sayakpaul / Action-Recognition-in-TensorFlow
  Contains additional materials for two keras.io blog posts.
  ☆17Updated 4 years ago
• byeongjokim / VIPriors-Image-Classification-Challenge
  ☆17Updated 5 years ago
• gunchagarg / differential-learning-rate-keras
  Implementation of Differential Learning Rate in Keras
  ☆11Updated 6 years ago
• sayakpaul / AdaMatch-TF
  Includes additional materials for the following keras.io blog post.
  ☆12Updated 4 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 5 years ago
• YuanEZhou / satic
  ☆26Updated 4 years ago
• vatsalsaglani / MultiLabelClassifier
  Multi-label Classification using PyTorch on the CelebA dataset.
  ☆25Updated 5 years ago
• sayakpaul / Multimodal-Entailment-Baseline
  This repository shows how to implement a basic model for multimodal entailment.
  ☆10Updated 4 years ago
• Raman-Raje / ImageCaptioning
  Image Captioning wiht Flickr8k data
  ☆19Updated 6 years ago
• sayakpaul / NALU
  Neural Arithmetic Logic Units by Trask et al.
  ☆12Updated 6 years ago
• mahdi-darvish / Instance-Segmentation-via-Training-Mask-RCNN-on-Custom-Dataset
  Combining Google Open Images with COCO-dataset weights and training a Mask R-CNN model to accurately create a instance mask for pumpkins …
  ☆15Updated 4 years ago
• SumanSudhir / Vehicle-and-Its-License-Plate-detection
  ☆14Updated 6 years ago
• gchhablani / multilingual-image-captioning
  ☆44Updated 4 years ago
• sayakpaul / Revisiting-Pooling-in-CNNs
  Implements RNNPool and SoftPool for CNNs.
  ☆14Updated 4 years ago
• sayakpaul / Learnable-Image-Resizing
  TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).
  ☆53Updated 4 years ago
• PrithivirajDamodaran / vision-language-modelling-series
  Companion Repo for the Vision Language Modelling YouTube series - https://bit.ly/3PsbsC2 - by Prithivi Da. Open to PRs and collaborations
  ☆14Updated 3 years ago
• sayakpaul / Handwriting-Recognizer-in-Keras
  This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.
  ☆13Updated 4 years ago
• gunchagarg / learning-rate-techniques-keras
  Exploring learning rates to improve model performance
  ☆19Updated 6 years ago
• sayakpaul / GCP-ML-API-Demos
  Contains Colab Notebooks show cool use-cases of different GCP ML APIs.
  ☆10Updated 5 years ago
• lessw2020 / training-detr
  Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer
  ☆39Updated 5 years ago
• firesans / STRforIndicLanguages
  PyTorch implementation of STR models for transfer learning in Indic Languages
  ☆16Updated 4 years ago
• weiyx16 / CLIP-pytorch
  A non-JIT version implementation / replication of CLIP of OpenAI in pytorch
  ☆34Updated 4 years ago
• Kirill-Kravtsov / drophead-pytorch
  An implementation of drophead regularization for pytorch transformers
  ☆19Updated 4 years ago
• soumik12345 / Enet
  Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)
  ☆11Updated 5 years ago
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 5 years ago
• iArunava / DCGAN
  In this repository, I reproduce the DCGAN paper using PyTorch
  ☆28Updated 2 years ago
• DrHB / PANDA-2nd-place-solution
  Team [Save the Prostate] - solution
  ☆18Updated 4 years ago
• tuvovan / Vision_Transformer_Keras
  Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
  ☆97Updated 4 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆25Updated 5 years ago