Abien Fred Agarap's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
textdistance
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
gradient-checkpointing
Make huge neural nets fit in memory
course-content
NMA Computational Neuroscience course
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
regolith-desktop
Meta package for the Regolith Desktop Environment
deep-learning-project-template
Pytorch Lightning code guideline for conferences
temperature_scaling
A simple way to calibrate your neural network.
tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
i3ipc-python
🐍 An improved Python library to control i3wm and sway.
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
dotfiles-manjaro
My personal dotfiles (how do these have so many stars?)
Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
TrustScore
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
densratio_py
A Python Package for Density Ratio Estimation
Mixture-of-Embedding-Experts
Mixture-of-Embeddings-Experts