Popular GitHub Repositories for Hessian Affine

Image augmentation for machine learning experiments.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

A Tensorflow implementation of Spatial Transformer Networks.

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

Unofficial Pytorch implementation of SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech

MODS with external deep descriptors/detectors

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Using PyTorch autograd to compute Hessian of Perplexity for Large Language Models

Jax implementation of the AdaHessian optimizer

Measuring generalization properties of graph neural networks

Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.

In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.

TensorFlow implementations of losses for sequence to sequence machine learning models

Measuring generalization properties of fine-tuning using Hessian

FOSI library for improving first order optimizers with second order information

Implementation of EPTQ - an Enhanced Post-Training Quantization algorithm for DNN compression

A lightweight data-augmentation library for machine learning

Bilevel Hyperparameter Optimization with Implicit Differentiation