Lars' MatLab Code for making an LSTM/CV System for Fencing Priority. Work is as recent as the Baylor Symposium 2023
Predicting stock prices using a TensorFlow LSTM
Toolkit for conversational AI
Self-contained Machine Learning and Natural Language Processing lib
Attention mechanism Implementation for Keras
Efficiently computes derivatives of numpy code
Scalable and user friendly neural forecasting algorithms.
ktrain is a Python library that makes deep learning AI more accessible
Applications of Deep Neural Networks
Deep learning PyTorch library for time series forecasting
Award-winning modern data processing in C++17/20
Deep learning used to profile program activity
Deep learning with clear code and speed
Training RNNs as Fast as CNNs
Keras Temporal Convolutional Network
Awesome Artificial Intelligence, Machine Learning and Deep Learning
Deep learning library featuring a higher-level API for TensorFlow
Easily train your own text-generating neural network
Reinforced Recommendation toolkit built around pytorch 1.7
Pre-trained LSTM and tokenization model files
A Neural Net Training Interface on TensorFlow, with focus on speed
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
Intel® Nervana™ reference deep learning framework