Evaluation of the CNN design choices performance on ImageNet-2012.

Visualising what each LSTM cell learns from data.

ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani

Tool to check remaining MAK activations

Library for automatically balancing the number of active Grains in an Orleans. It allows you to set limits on the number of active Grains, and will automatically deactivate Grains if those limits are reached. It can also perform rebalancing of Grain activations between silos to ensure evenly distributed.

When installing an OS or other Microsoft software into a virtual machine, one is often met with the activation problem. Usually it's not a problem, but when you want to keep the virtual machine for a long time, you want to activate it. Here's how.

Swish Activation Function

Here are the activation codes for Sublime Text 3114, 3126, 3143 (latest)

m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

Dump feature maps per image, and create montages of the 'best' images and activations for each feature map at a given layer

Learnings of Data Science