Showing 1-18 of 18 projects
A GPU-accelerated neural network library for building AI-powered web and Node.js applications.
A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.
A Python library for generating handwritten text using recurrent neural networks (RNNs) and TensorFlow.
A TensorFlow-based example of human activity recognition using an LSTM RNN on smartphone sensor data.
A tutorial repository for learning deep learning with PyTorch, covering topics like CNNs, GANs, and RNNs.
A repository with papers, code, and experiments using deep learning for time series forecasting.
A comprehensive collection of TensorFlow tutorials covering convolutional and recurrent neural networks.
A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.
A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.
Keras Temporal Convolutional Network (TCN) library for building deep learning models with temporal dependencies.
A comprehensive survey of text classification algorithms and techniques in Python.
An open-source library for building Liquid Time-Constant Networks, a type of recurrent neural network for sequence modeling.
A curated collection of top 200 deep learning GitHub repositories sorted by stars for AI developers.
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
A visualization toolbox for LSTM neural networks, useful for developers working with AI/ML models.
A comprehensive curriculum for learning machine learning and AI development in Python.
A text classifier library that uses Hierarchical Attention Networks for document classification.
A Python library for building continuous-time neural networks and neural ODEs.
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