MITAI's repositories

Adnotrain

Adnotrain

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ai_menu_llamaIndex

a better menu

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ChangeFormer

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

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cutie-for-invoices-torch

Deep neural network to extract intelligent information from invoice documents using PyTorch.

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deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

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dockerfiles

Clear Linux-based Docker containers

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fastapi-cv

Creating a face detection FastAPI in Heroku

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FastSAM

Fast Segment Anything

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greykite_time_series_analysis_forecasting

A flexible, intuitive and fast forecasting library

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JoinNERModel

Code and notebooks associated with my blogposts

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Kats_Time_series_prediction

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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KYC-train-model

Train TensorFlow model for KYC

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LETNet

This repository is an official PyTorch implementation of our paper “LETNet: Lightweight-Real-time-Semantic-Segmentation-Network-with-Efficient-Transformer-and-CNN”.(TITS2023)

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lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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llama-recipes

Examples and recipes for Llama model

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llama2-chatbot

LLaMA v2 Chatbot

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llms

llms staff

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Local

Local usage

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mixtral

Mixtral on Your Local Computer

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Practical-Time-Series-In-Python

Practical guidance for time series analysis in Python

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privateGPT

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

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python-apps

Python applications.

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pytorch-deep-learning

Materials for upcoming beginner-friendly PyTorch course (work in progress).

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sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

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Siam-NestedUNet

The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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tensorflow-deep-learning-course

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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yolov5-fastapi

Machine Learning Model API using YOLOv5 with FAST API

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