LambdaNet
This artificial neural network library, implemented in Haskell, enables users to create, train, and utilize neural networks through higher-order functions. With a focus on abstraction, it simplifies complex tasks by offering a set of pre-defined functions for various data operations, making it accessible for rapid prototyping while supporting extensibility for advanced users.
Top LambdaNet Alternatives
RustNN
RustNN is a user-friendly neural network library in Rust that facilitates the creation of feedforward networks.
HNN
HNN is a Haskell-based library designed for creating, training, and utilizing feed-forward neural networks.
deeplearn-rs
Deeplearn-rs is an innovative deep learning software crafted in Rust, showcasing a proof of concept for neural network applications.
NanoNets
Nanonets AI revolutionizes data processing by extracting valuable insights from various sources such as documents, emails, and databases.
BackpropNeuralNet.jl
BackpropNeuralNet.jl is a robust deep learning software developed in Julia, featuring a customizable neural network architecture.
MGL
It enables developers to implement and experiment with advanced algorithms while benefiting from the expressive...
Google Deep Learning Containers
Designed for rapid prototyping and deployment, they enable seamless development across various Google Cloud services...
Hopfield Networks
This Haskell implementation draws from insights in "Information Theory, Inference, and Learning Algorithms" by David...
Google Cloud Deep Learning VM Image
Each image includes essential frameworks such as TensorFlow and PyTorch, along with the latest AI...
MLPNeuralNet
Leveraging Apple's Accelerate Framework, it facilitates the seamless integration of trained models for accurate predictions...
Amazon EC2 G5 Instances
Equipped with up to 8 A10G Tensor Core GPUs and advanced storage, they optimize training...
Multi-Perceptron-NeuralNetwork
It excels in product recommendations, user behavior analysis, and data mining...
Amazon EC2 P4 Instances
Utilizing NVIDIA A100 Tensor Core GPUs, these instances achieve remarkable throughput and low-latency networking at...
node-fann
This allows developers to leverage multilayer artificial neural networks, supporting both fully and sparsely connected...
Top LambdaNet Features
- Purely functional architecture
- Haskell implementation
- Higher-order function abstraction
- Composable network functions
- Built-in neuron types
- Fully connected layers
- Random weight initialization
- Customizable training methods
- Quadratic error cost function
- Online and minibatch training
- Model persistence with save/load
- Support for future architectures
- Visualization package for outputs
- Extensible through Haskell knowledge
- Regularization and momentum support
- Scikit-Learn style API
- Sample XOR network example
- Minimal Haskell knowledge required
- Unit testing support
- Nightly build accessibility
Top LambdaNet Alternatives
- RustNN
- HNN
- deeplearn-rs
- NanoNets
- BackpropNeuralNet.jl
- MEGA
- MGL
- Google Deep Learning Containers
- Hopfield Networks
- Google Cloud Deep Learning VM Image
- MLPNeuralNet
- Amazon EC2 G5 Instances
- Multi-Perceptron-NeuralNetwork
- Amazon EC2 P4 Instances
- node-fann
