Kowloon City Budget Planning

Feature engineering package with sklearn like functionality

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

Download and visualize single or multiple classes from the huge Open Images v4 dataset

Most popular metrics used to evaluate object detection algorithms.

A unified framework for machine learning with time series

Public facing deeplift repo

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

Low-code framework for building custom LLMs, neural networks, and other AI models

Python libraries for Google Colaboratory

kaldi-asr/kaldi is the official location of the Kaldi project.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

A Haskell library that simplifies access to remote data, such as databases or web-based services.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Fast, easy and reliable testing for anything that runs in a browser.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

A system for quickly generating training data with weak supervision

Leaf Clinical Data Explorer

Data Ingestion and Harmonization

The repository for code and documentation produced by the N3C Phenotype and Data Acquisition workstream

N3C Data Partnership & Governance Workstream

N3C Synthetic Clinical Data Workstream

☁️ Build multimodal AI applications with cloud-native stack

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

GPT-3: Language Models are Few-Shot Learners

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Health NLP Examples