train resnet on imagenet from scratch with caffe
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Updated
May 2, 2024 - Shell
train resnet on imagenet from scratch with caffe
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.
The U-Net Segmentation server (caffe_unet) for Docker
Complete Machine Learning Docker Environment including Jupyter, PyTorch, TensorFlow, Theano, Keras, Caffe with more
Striving for Simplicity: The All Convolutional Net (All-CNN-C)
Dockerfiles for deep learning semantic segmentation projects, make my life easier - -
Collection of my bash scripts to make your life easier. Mostly computer vision stuff.
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
SyNERGY: An energy measurement and prediction framework in Caffe2
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Environment Setup for Deep Learning, AI, Machine Learning,...
Learning to Score Olympic Events [CVPR Workshops 2017]
Enablement for Caffe (OpenCL) on AMD GPUs
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