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The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Build and run Docker containers leveraging NVIDIA GPUs
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
A Python toolbox for performing gradient-free optimization
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A machine learning package built for humans.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Apache Superset is a Data Visualization and Data Exploration Platform
A Python implementation of LightFM, a hybrid recommendation algorithm.
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
C++14 asynchronous allocation aware futures (supporting then, exception handling, coroutines and connections)
Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers
Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
A WebGL accelerated JavaScript library for training and deploying ML models.