PinnedDarko JurićinITNEXTMini PyTorch from Scratch — Module 0Mini PyTorch version using only NumPy/CuPy. Introduction.Jan 30Jan 30
Darko JurićinITNEXTMini PyTorch from Scratch — Module 6 (part 1)Mini PyTorch version using only NumPy/CuPy. NN and CNN based samples. Module 6 (part 1): transposed 2d convolution.2h ago2h ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 5 (part 5)Module 5 (part 5): classification ResNet based sample (CIFAR10).2d ago2d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 5 (part 4)Module 5 (part 4): dropout.2d ago2d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 5 (part 3)Module 5 (part 3): 2D batch normalization.2d ago2d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 5 (part 2)Module 5 (part 2): 2D max pooling.2d ago2d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 5 (part 1)Module 5 (part 1): 2D convolution for CPU/GPU.3d ago3d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 4Module 4: dataset, dataloader, transforms; MNIST classification.3d ago3d ago
Darko JurićinITNEXTMini PyTorch from Scratch — Module 3Module 3: class Module, layers, losses, optimizer.Feb 6Feb 6
Darko JurićinITNEXTMini PyTorch from Scratch — Module 2Module 2: support for tensors, logistic regression sample.Feb 3Feb 3
