Showing 481-500 of 817 projects
A deep learning library for time series classification, useful for AI developers working with sensor and time-based data.
A demo for running neural networks across different deep learning frameworks
A massively multiagent game environment for training and evaluating intelligent agents.
A Python-based agent that uses speech recognition and text-to-speech to enable conversational interactions via WhatsApp.
A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.
A review of Neural Style Transfer, a technique for applying the artistic style of one image to the content of another.
Unofficial Parallel WaveGAN repository with PyTorch implementation of various neural vocoders for speech synthesis.
Grad-CAM is a deep learning visualization technique for interpreting and explaining CNN-based models.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.
Stylized Neural Painting is a PyTorch implementation for neural-based image stylization and painting translation.
Pre-trained neural network models in Elixir's Axon framework, with integration for Hugging Face models.
Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.
An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.
Tutorials and implementations for self-normalizing neural networks, a type of AI model.
A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.
Automated deep learning algorithms implemented in PyTorch for AI-driven developers.
A community-driven repository for Keras, a popular deep learning library for Python.
Efficient Neural Architecture Search via Parameter Sharing for TensorFlow
Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.
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