Spidr Alternatives

Similar projects and alternatives to spidr

mit-deep-learning-book-pdf

3 12,284 2.7 Java spidr VS mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
matrix-sized

0 0 0.0 C++ spidr VS matrix-sized

Generic matrix with statically known size and bindings to C++ linear algebra libraries (Eigen, Spectra).
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Idris2

39 2,390 9.6 Idris spidr VS Idris2

A purely functional programming language with first class types
100-Days-Of-ML-Code

3 43,200 0.0 spidr VS 100-Days-Of-ML-Code

100 Days of ML Coding
pyro

9 8,342 8.4 Python spidr VS pyro

Deep universal probabilistic programming with Python and PyTorch
Deeplearning4j

13 13,408 6.5 Java spidr VS Deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
tensor-safe

0 101 0.0 Haskell spidr VS tensor-safe

A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better spidr alternative or higher similarity.

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Accelerated machine learning with dependent types
1 project | news.ycombinator.com | 30 Oct 2023
[Project] Idris and XLA: linear algebra and probabilistic modelling w. dependent types
1 project | /r/MachineLearning | 27 Dec 2021

In June, I announced I'd started work on a probabilistic modelling library in Idris. This post is to announce the first major milestone: basic linear algebra in Idris backed by XLA. Right now, this is only addition, but other ops are easy to add from here.

1 project | /r/MachineLearning | 27 Dec 2021

[In June](https://www.reddit.com/r/MachineLearning/comments/o9lqb8/probabilistic_modelling_project_w_dependent_types/?utm_source=share&utm_medium=web2x&context=3), I started work on a probabilistic modelling [library](https://github.com/joelberkeley/spidr) in Idris. This post is to announce the first major milestone: *basic linear algebra in Idris backed by XLA*. Right now, this is just addition, but adding ops will be easy from here.
ML engineering as [research]. Probabilistic modelling [project] w. dependent types. Early stages
1 project | /r/MachineLearning | 28 Jun 2021

I've been working almost full time on a probabilistic modelling framework with an API in Idris, a purely functional programming language with a very advanced type system incl. dependent types (you can parametrise tensor types by their shape, and more), quantitative types and theorem proving.
A note from our sponsor - WorkOS
workos.com | 19 Apr 2024

The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →