Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-mask-r-cnn-pytorch
asr-evaluation
Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).
Background_removal_using_image_segmentation
Background substitution from an image/video using FCN image segmentation
DCGAN
DCGAN implemetation for custom dataset
Deeplearning_Image_Similarity
Deep learning based image similarity search for product recommendations
Face_Recognition
<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
Image-classifer-using-tensorflow
a classifier trained for a hackathon using tensorflow slim library
tensorflow_object_detection
Real time object detection using tensorflow object detection api
Text_Detection_Synthetic_DataGenerator
Synthetic data generator for text detection/localisation tasks.
vinayakarannil's Repositories
vinayakarannil/Face_Recognition
<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
vinayakarannil/Text_Detection_Synthetic_DataGenerator
Synthetic data generator for text detection/localisation tasks.
vinayakarannil/DCGAN
DCGAN implemetation for custom dataset
vinayakarannil/Image-classifer-using-tensorflow
a classifier trained for a hackathon using tensorflow slim library
vinayakarannil/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
vinayakarannil/amazon-sagemaker-mask-r-cnn-pytorch
vinayakarannil/asr-evaluation
Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).
vinayakarannil/aws-media-replay-engine
Media Replay Engine (MRE) is a framework to build automated video clipping and replay (highlight) generation pipelines for live and video-on-demand content.
vinayakarannil/BERT_multilabel_text_classification
An attempt to solve multilabel text classification problem using BERT encoder
vinayakarannil/car-damage-detection-using-CNN
Automated car damage detection using Instance Segmentation(Mask R-CNN)
vinayakarannil/cookbook
A repository of machine learning codes written for re-usability
vinayakarannil/Course_AWS_Certified_Machine_Learning
vinayakarannil/covid-19-india-analysis
EDA of covid-19 data in India
vinayakarannil/Dataset-Indian-Names
The repository contains code for creating dataset for Indian names by preprocessing with some available datasets on google .
vinayakarannil/DeepLearningExamples
Deep Learning Examples
vinayakarannil/Demo
Demo repo for tutotial articles on Opensource.com
vinayakarannil/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
vinayakarannil/EAST
A tensorflow implementation of EAST text detector
vinayakarannil/Gardner2019
reproduce of paper Deep Parametric Indoor Lighting Estimation
vinayakarannil/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
vinayakarannil/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
vinayakarannil/Pothole_Detection
Pothole Detection Using Computer Vision (Masked-RCNN)
vinayakarannil/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
vinayakarannil/sentence-transformers
Sentence Embeddings with BERT & XLNet
vinayakarannil/spotlight
Deep recommender models using PyTorch.
vinayakarannil/STEP
CVPR2019 STEP: Spatio-Temporal Progressive Learning for Video Action Detection
vinayakarannil/style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
vinayakarannil/sumy
Module for automatic summarization of text documents and HTML pages.
vinayakarannil/Tensorflow-Object-Detection-API-train-custom-Mask-R-CNN-model
Train a Mask R-CNN model with the Tensorflow Object Detection API
vinayakarannil/tf-in-practice
Quizzes and Assignments for the "TensorFlow in Practice" Specialisation