Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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)
C++ Implementation of PyTorch Tutorials for Everyone
The main features of prabhuomkar/pytorch-cpp are: Model Implementations, Tutorials.
Open-source alternatives to prabhuomkar/pytorch-cpp include: dsksd/deepnlp-models-pytorch — Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ). wkentaro/pytorch-fcn — PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.). 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,… agermanidis/thingscoop — Search and filter videos based on objects that appear in them using convolutional neural networks. adap/flower — Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across…