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
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch implementation of Deformable Convolution
Search and filter videos based on objects that appear in them using convolutional neural networks
الميزات الرئيسية لـ agermanidis/thingscoop هي: Model Implementations.
تشمل البدائل مفتوحة المصدر لـ agermanidis/thingscoop: meta-llama/llama-cookbook — This project is a collection of implementation guides, recipes, and developer resources for building applications with… aaron-xichen/pytorch-playground — Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet,… adambielski/capsnet-pytorch. adap/flower — Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across… ahirner/pytorch-retraining. 1zb/deformable-convolution-pytorch — PyTorch implementation of Deformable Convolution.