Projects sharing features with Pytorch NeuCom

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

Oriented Response Networks, in CVPR 2017

OptNet: Differentiable Optimization as a Layer in Neural Networks

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

Classification with PyTorch.

Hierarchical Attentive Recurrent Tracking

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

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

A PyTorch implementation of DenseNet.

Search and filter videos based on objects that appear in them using convolutional neural networks

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)