Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Here are YouTube video lessons about creating Telegram Bot through using Aiogram library.

AlphaFold 3 inference pipeline.

Connects to Frame and streams audio from the host microphone, which is sent through a local (on Host device) vosk speech-to-text engine, translates the text into a target language on-device, and di…

A list of available Barcode & QR Code Datasets

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Neo4j graph construction from unstructured data using LLMs

Code for paper RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

Baseline AI models for 3D csPCa detection/diagnosis in bpMRI

Service to activate a command on a wake word

Plays rock-paper-scissors with high win rate using Hidden Markov Models (as part of freecodecamp qualification)

This is the official code release for OPERA: OPEn Respiratory Acoustic foundation models

ESC: Dataset for Environmental Sound Classification - paper replication data

Easy Pytorch TorchAudio ESC-50 Class

Learning audio concepts from natural language supervision

Dataset and baseline code for the VocalSound dataset (ICASSP2022).

This repository provides the official implementation of the paper "Z-SSMNet: Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI".

An open benchmarking platform for medical artificial intelligence using Federated Evaluation.

Jupyter notebooks for learning how to use SimpleITK

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

No bullshit IT community with private membership

Dependency injection framework for Python

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.