multi-gpu topic
facenet-pytorch-glint360k
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
ImplicitGlobalGrid.jl
Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
transformer
Neutron: A pytorch based implementation of Transformer and its variants.
keras_multi_gpu
Multi-GPU training for Keras
deep-learning-with-python-2nd
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
gpuvmem
GPU Framework for Radio Astronomical Image Synthesis
dlt
Deep Learning Toolbox for Torch
dual-mfa-vqa
Co-attending Regions and Detections for VQA.
stable-diffusion-nvidia-docker
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.