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Low-code framework for building custom LLMs, neural networks, and other AI models
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Neural network visualization toolkit for keras
TensorFlow binaries supporting AVX, FMA, SSE
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
The most cited deep learning papers
Python Implementation of Reinforcement Learning: An Introduction
Mostly adequate guide to FP (in javascript)
Visualizations for machine learning datasets
crawlik / facets
Forked from PAIR-code/facetsVisualizations for machine learning datasets
Content for Udacity's Machine Learning curriculum
A Python data analysis library that is optimized for humans instead of machines.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Always know what to expect from your data.
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
A starter agent that can solve a number of universe environments.
Library for fast text representation and classification.
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
A lightweight framework for writing REST services in Scala.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Server automation framework and application
Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
Apache Spark to Apache Cassandra connector
Apache Spark - A unified analytics engine for large-scale data processing