dlspit 1.0.0

A collection of Deep Learning experiments: MLP, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE, Transfer Learning.

dl-experiments-ps07

A pip-installable collection of Deep Learning experiment modules covering McCulloch-Pitts neurons, MLP, backpropagation, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE, and Transfer Learning.

Installation

# Core (NumPy only — Exp 1a, 1b, 2a, 3)
pip install dl-experiments-ps07

# With scikit-learn (Exp 2b MNIST loader)
pip install "dl-experiments-ps07[sklearn]"

# With PyTorch (Exp 4–10)
pip install "dl-experiments-ps07[torch]"

# Everything
pip install "dl-experiments-ps07[all]"

Usage

Python API

import dl_experiments

# Run ALL experiments
dl_experiments.main()

# Run specific experiments
dl_experiments.main("1a")          # McCulloch-Pitts
dl_experiments.main("4", "5")     # CNN + ResNet

# List available keys
print(dl_experiments.list_experiments())
# ['1a', '1b', '2a', '2b', '3', '4', '5', '6', '7', '8', '9', '9b', '10']

CLI

# Run all experiments
dl-experiments

# Run specific experiments
dl-experiments 1a 2a 3

# List available experiments
dl-experiments --list

# As a module
python -m dl_experiments 1a 1b

Experiment Index

Key	Module	Description
1a	McCulloch-Pitts	Binary threshold neuron, logic gates
1b	MLP Binary	XOR with 2-layer MLP
2a	Activations & Losses	Sigmoid, Tanh, ReLU, MSE, BCE
2b	Backprop MNIST	NumPy backprop on MNIST
3	Regularisation	L2 + Dropout
4	CNN	Conv2d + MaxPool
5	ResNet	Skip connections
6	RNN	Vanilla RNN sequence prediction
7	LSTM	Long Short-Term Memory
8	Transformer	Multi-head self-attention
9	GAN	Generator + Discriminator
9b	VAE	Variational Autoencoder
10	Transfer	Frozen backbone + custom head

Requirements

• Python ≥ 3.10
• numpy ≥ 1.24
• (Optional) scikit-learn ≥ 1.3 — for Exp 2b
• (Optional) torch ≥ 2.0, torchvision ≥ 0.15 — for Exp 4–10

License

MIT