An organized collection of tutorials and projects created for aspriring computer vision students.

To start learning computer vision, you should start by installing:

• Ubuntu (preferable 18 or over)
• Anaconda (for virtual environment)
• For computers with compatible NVIDIA GPU: Graphics cards drivers, CUDA and CUDNN.

• PyTorch Tutorials
• Assignments

• Tensor Basics
• Feedforward Neural Net
• Convolutional Neural Net
• Weight Load/Save
• Custom dataset
• Finetune / Transfer learning
• Augmentation using torchvision
• Albumentation
• Tensorboard

• DenseNet
• DLA
• GhosNet-Resnet18
• EfficientNet
• MobilenetV2
• ShufflenetV2
• And many others
• Please use tensorboard to view the runs here

• Unet Image Segmenation

• Object Detection with SSD

• EX 1 - Building VGG-16
• EX 2 - Training Resnet-50 on CIFAR-10