A pytorch port of google-research/google-research/robust_loss/

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)

Code release for NeRF (Neural Radiance Fields)

Code release for Local Light Field Fusion at SIGGRAPH 2019

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

LPIPS metric. pip install lpips

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Workshop on GPU and slurm usage at RPL (KTH)

Some latex definitions for colour-blind safe colours

Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)

Materials of the Nordic Probabilistic AI School 2021.

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Coresets via Bilevel Optimization

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

CL-Gym: Full-Featured PyTorch Library for Continual Learning

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Minima is a one-size-fits-all Jekyll theme for writers.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

Monte carlo tree search in python

Continuum Learning with GEM: Gradient Episodic Memory

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Implementation of Gaussian processes for supervised and unsupervised learning in Python

95.47% on CIFAR10 with PyTorch

This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).

Disparity calculation using Loopy Belief Propagation.