fold
by tensorflow
Deep learning with dynamic computation graphs in TensorFlow
AI summary
Dynamic Graph Modeler
A library that enables flexible and efficient deep learning modeling with dynamic computation graphs.
- stars
- 1.8K
- forks
- 266
- watching
- 100
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Tensor processing library
A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology.
Graph Network Library
Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.
Graph deployer
Deploying TensorFlow graphs for efficient evaluation in non-TensorFlow environments
Model analyser
Evaluates and visualizes the performance of machine learning models.
Image segmenter
An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation
Model converter
A tool for converting Darknet model files to TensorFlow graph format
TensorFlow tutorial
An end-to-end deep learning project demonstrating various TensorFlow techniques and applications in image classification, GANs, text classification, and more.
Model compiler
A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras.
Graph learner
A deep learning framework for graph representation learning with partially labeled data
Lattice model builder
A library for creating constraint-based interpolation models in TensorFlow
Neural network library
Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language.
ML framework
An end-to-end platform for building and deploying machine learning applications
ML model library
An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration.
CNN analyzer
A tool to visually analyze and understand deep learning models' internal workings, specifically convolutional neural networks.
Semantic segmentation model
A TensorFlow-based implementation of a semantic segmentation network for image classification tasks
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions fold.
