Pinned Repositories
scalable-inference-in-sdes
Methods and experiments for assumed density SDE approximations
BNN-predictions
Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
fullstack-mooc
Assisnments for the 2020 Helsinki Univesity Full stack MOOC
jax-workshop
JAX workshop for Simo Särkkä's group
lidargen
Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)
statsmodels
Statsmodels: statistical modeling and econometrics in Python
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
tamell's Repositories
tamell/BNN-predictions
Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
tamell/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
tamell/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
tamell/fullstack-mooc
Assisnments for the 2020 Helsinki Univesity Full stack MOOC
tamell/jax-workshop
JAX workshop for Simo Särkkä's group
tamell/lidargen
Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)
tamell/statsmodels
Statsmodels: statistical modeling and econometrics in Python
tamell/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
tamell/torchgan
Research Framework for easy and efficient training of GANs based on Pytorch