Easy Docker setup for Stable Diffusion with user-friendly UI
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Updated
May 20, 2024 - Shell
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
Easy Docker setup for Stable Diffusion with user-friendly UI
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
WaveNet-Vocoder implementation with pytorch.
Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.
PyTorch implementation of YOLO-v1 including training
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Repository for the Learning AI with GitHub Copilot video series.
A research library for pytorch-based neural network pruning, compression, and more.
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Simple Documentation Builder for Ivy Projects.
A Deep Learning Docker Image (PyTorch and TensorFlow) for arm64 architecture
This is a repository for a Predictive Stack for Natural Language Processing (NLP)
Catalyst.Classification
ROCm Machine Learning and HPC Stack installer
How to deploy TorchServe on an Amazon EKS cluster for inference.
Dockerfile for deep learning on GPUs
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 2 months ago