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adversarial_oversampling

Heartbeat Anomaly Detection using Adversarial Oversampling

allanlab

Allan Lab website

am-mobilenet1d

The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 architecture and the Additive Margin Softmax (AM-Softmax) loss function.)

am-sincnet

The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architecture SincNet and the additive margin softmax (AM-Softmax) loss function. It uses the architecture of the SincNet, but with an improved AM-Softmax layer.

author-classification-deep

bert-side

beyond-chatgpt

Building your first LLM application with OpenAI, Chainlit, and Hugging Face, step-by-step!

ciencia-de-dados

Disciplina de Ciências de Dados da UNINOVE

cnn-hierarchical-network-for-document-classification

This repository contains the implementation of paper "Hierarchical Attentional Hybrid Neural Networks for Document Classification"

customer_churn_analysis

Customer churn prediction for telecom dataset

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

dcai-course

Introduction to Data-Centric AI, MIT IAP 2023 🤖

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

dcia

DCIA Source Code

deep-learning-for-document-dewarping

An application of high resolution GANs to dewarp images of perturbed documents

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

document-image-unwarping-pytorch

Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

entropic-out-of-distribution-detection

Original implementation of the code of the paper "Entropic Out-of-Distribution Detection", accepted for publication in The International Joint Conference on Neural Networks (IJCNN), 2021.

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

fast_abs_rl

fidgan

fraud_detect_aae_effects

Fraud detect: Effects of autoencoder features in classifiers

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

gpt_index

An index created by GPT to organize external information and answer queries!

gpts

leaked prompts of GPTs

hands-on-llms

Learn how to engineer your end-to-end LLM ecosystem: training, streaming, and inference pipelines | deploy & automate | work in progress...

hands-on-train-and-deploy-ml

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

how-to-build-own-text-summarizer-using-deep-learning

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

i2a2