Projects sharing features with Pyscatwave

This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb

OptNet: Differentiable Optimization as a Layer in Neural Networks

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b

This project is an AI research implementation library and machine learning research repository. It provides a collection of reference code, illustrative implementations, and open-source research datasets used to verify hypotheses and build upon existing models in artificial intelligence. The repository focuses on scientific research reproduction by translating theoretical findings from published papers into executable code. It includes specialized scientific simulation environments designed to test the behavior of autonomous agents and models within controlled settings. The project covers AI

A PyTorch implementation of DenseNet.

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Hierarchical Attentive Recurrent Tracking

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning