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    MongoDB Atlas runs apps anywhere

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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    RLax

    RLax

    Library of JAX-based building blocks for reinforcement learning agents

    ...It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines.
    Downloads: 0 This Week
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  • 2
    TensorFlow

    TensorFlow

    TensorFlow is an open source library for machine learning

    ...Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. ...
    Downloads: 18 This Week
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  • 3
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    ...A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
    Downloads: 0 This Week
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  • 4
    Neural Tangents

    Neural Tangents

    Fast and Easy Infinite Neural Networks in Python

    Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,...
    Downloads: 0 This Week
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  • 5
    TensorNetwork

    TensorNetwork

    A library for easy and efficient manipulation of tensor networks

    TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage...
    Downloads: 0 This Week
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  • 6
    .NET, (in future - VB DLL, C# DLL and Pascal .TPU) class library realizing associative arrays mechanism for VB.NET (an other languages).
    Downloads: 0 This Week
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  • 7
    Tas is a multi-platform multi-lingual assembler for the Freescale eTPU intelligent timer module. The assembler has a C compatible pre-processor for easy integration with host CPU code. The assembler also supports the original TPU module.
    Downloads: 0 This Week
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