Lucas Caccia

pixel-cnn-pp. Pytorch Implementation of OpenAI's PixelCNN++

pytorch-glow. Pytorch Implementation of OpenAI's GLOW

iaf-vae. Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

lidar_generation. Code for "Deep Generative Models for LiDAR Data"

GansFallingShort. Code for "Language GANs Falling Short"

AML. Python

adaptive-quantization-modules. Code for "Online Learned Continual Compression with Adaptive Quantization Modules"

vq-vae. Pytorch implementation of "Neural Discrete Representation Learning"

processed-kitti-lidar. Python

awesome-moerging. List of papers accompanying "A Survey on Model MoErging : Recycling and Routing Among Specialized Experts for Collaborative Learning" https://www.arxiv.org/pdf/2408.07057

basic_reinforcement_learning. An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

aux-vae. Python

execution-tracing. Tool to extract execution traces for a given python program

continuum. A clean and simple data loading library for Continual Learning

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

LMC. Python

GRAN. Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

distributional_rl. Python

Biological_Learning. Example of "biological" learning for MNIST

transformer-MADE. Jupyter Notebook

aux_vae. Auxiliary Guided Variational Auto Encoders

mbpa. Model Based Parameter Adaptation (MbPA) https://arxiv.org/pdf/1802.10542.pdf

action_conditional_pred. Python