Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
scikit-learn: machine learning in Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Python packaging and dependency management made easy
You like pytorch? You like micrograd? You love tinygrad! ❤️
Platform for building AI that can learn and answer questions over federated data.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Open source platform for the machine learning lifecycle
Download market data from Yahoo! Finance's API
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A Keras implementation of YOLOv3 (Tensorflow backend)
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Merlion: A Machine Learning Framework for Time Series Intelligence
An API for sending and receiving messages over web.whatsapp [Working as of 18th May 2018]
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
proof of concept for a transformer-based time series prediction model
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Earth observation processing framework for machine learning in Python
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423