MMFM model with IconQA dataset

MMFM model with IconQA dataset

IconQA dataset- for abstract diagram understanding and comprehensive cognitive reasoning. Learn to use MMFM model with Tensorleap to explore the latent space, easily detect unlabeled clusters, and handle those with high loss.

The MNIST Dataset

In this example, we used the MNIST dataset (handwritten digits) to train a convolutional neural network (CNN) for image classification, and reached a validation accuracy of ~0.98 on our trained model.

In this example, we used the MNIST dataset (handwritten digits) to train a convolutional neural network (CNN) for image classification, and reached a validation accuracy of ~0.98 on our trained model.

LibriSpeech Dataset With Wav2vec

stt-wav2vec2-librispeech

A speech recognition task for predicting the text from an audio file. We utilize a wav2vec model trained on the librispeech-asr benchmark, implemented using Keras and Tensorflow.

Sentiment Analysis

The IMDB dataset is one of the most popular sentiment analysis datasets. It contains multiple movie reviews, each annotated with either a positive or negative label. In this example, a classifier model was built to predict positive and negative reviews.

Detecting Pneumonia – Chest X-Ray Images

The project uses transfer learning from a pre-trained DensNet201 network to classify chest X-ray images into one of three classes- normal, bacteria, or virus. In a DenseNet, we use dense connections between layers, using Dense Blocks, where each layer (with identical feature maps) directly connects with each other through dense connections. On the left panel of the chest X-ray […]

CityScapes – Object Detection

This project utilizes the YOLOv7 model to perform object detection task on Cityscapes dataset. The cityscapes dataset is a large-scale dataset that stands as one of the standard advanced driver-assistance system (ADAS) benchmarks for multiple vision-related tasks.

Optical Flow – Raft

This project utilizes the RAFT (Recurrent All-pairs Field Transforms) model that estimates Optical Flow using the KITTI dataset.