Found 10 packages
Deep Reinforcement Learning in .NET
Remote components for Deep Reinforcement Learning in .NET
A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Temporal Fusion Transformers, GPT, Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!
Server components for Deep Reinforcement Learning in .NET
Deep Reinfocement Learning Library wiring RLMatrix with Godot objects for easy of use with Godot Engine
Quick Winforms Chart for RL Matrix
Giving Windows C# developers easy access to the ONNX AI Model Format for easy model conversions.
C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.