examples
Deep Learning Frameworks
A collection of pre-built deep learning models and training scripts for use on Lambda Cloud
Deep Learning Examples
811 stars
14 watching
108 forks
Language: Jupyter Notebook
last commit: almost 2 years agoLinked from 1 awesome list
filipecalegario/awesome-generative-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 aws/aws-lambda-java-libs | A collection of libraries providing essential components for building Java applications on the AWS Lambda platform. | 521 |
 quantumliu/matdl | A lightweight MATLAB deeplearning toolbox for efficient neural network training and prediction. | 54 |
 cloudkj/lambda-ml | A machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities. | 76 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
 symjax/symjax | A symbolic programming library for machine learning and deep learning applications. | 120 |
 torch/demos | Torch7 tutorials and demos providing hands-on experience with the deep learning framework. | 355 |
 melisgl/mgl | A Common Lisp machine learning library that supports neural networks, Boltzmann machines, and other algorithms. | 593 |
 tensorflow/tfjs | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,533 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 jpzwolak/qflow-suite | A machine learning framework for training models on quantum dot data | 40 |
 lambdacube3d/lambdacube-edsl | A domain-specific language and library for programming GPUs in a functional style | 204 |
 fielddb/deeplearntoolbox | A Matlab toolbox for building and training deep neural networks | 0 |
 tdeboissiere/deeplearningimplementations | A collection of implementations of recent deep learning papers in Python | 1,814 |
 millionintegrals/vel | A collection of modular deep learning components that can be easily configured and reused in various applications. | 276 |
 sql-machine-learning/elasticdl | A framework for building and training distributed deep learning models in Kubernetes environments. | 735 |