🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

Code for Noisy Injective Flows Paper

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

A self-tuning anomaly detection system to address the challenges of method selection and hyper-parameter tuning without access to a sufficient number of human supplied, ground truth labels.

Awesome Incremental Learning

A latent text-to-image diffusion model

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Biological evolution simulator

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

A Collection of Variational Autoencoders (VAE) in PyTorch.

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.