Easy Docker setup for Stable Diffusion with user-friendly UI
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Updated
Aug 18, 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
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.
A research library for pytorch-based neural network pruning, compression, and more.
PyTorch implementation of YOLO-v1 including training
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
A Deep Learning Docker Image (PyTorch and TensorFlow) for arm64 architecture
(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
An application suite including an open-source inference server and web UI to deploy any YOLOv8 model to NVIDIA Jetson devices and visualize captured streams, with one line of code.
Catalyst.Classification
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
ROCm Machine Learning and HPC Stack installer
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release 25 days ago