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A tool that converts long audio files into a thorough, summarized report. Leverages OpenAI and its API (ChatGPT backend), Langchain for text processing, and Pinecone for vector database facilitation.
📃 A contracts clause summarization system using LLM and vector database
E2E ready to deploy solution architecture combining Cognitive (Enterprise) Search with OpenAI to search for relevant information and then to summarize the content to present to the user in a concis…
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Abstractive and Extractive Text summarization using Transformers.
Introducing aLEXa, a multi-task hierarchical language model using self-learned loss weights and attention forcing for neural legal judgement prediction.
Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.
Repository built under the mirel initiative for development of a reasoning framework for Legal text documents.
An Open-Source Package for Knowledge Embedding (KE)
This repo provides a simple short-text classification code using RNN and CNN.
This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.
도서 내의 코드들을 모아 놓은 repo입니다.
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
DCGAN, VAE using CIFAR-10 dataset and CelebA dataset
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
First time using git properly(trying to)
A simple cifar-10 classifier with PyTorch
practice on CIFAR10 with PyTorch
http://bit.ly/DeepLearning_denny_dhil
MNIST data prediction using MLP, CNN and VGG16
Comparison of 3 neural networks on MNIST dataset
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
Rainfall prediction models (Linear and Logistic) trained on publicly available datasets from Austin, Texas
This is the weather prediction machine learning model which ll help to predict different parameter of weather like, Temperature, wind speed, air pollution index.
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
This machine learning project learnt and predicted rainfall behavior based on 14 weather features. Applied KNN model, Clustering model and Random Forest model.
Simple naive bayes implementation for weather prediction in python