tranbahien's Stars
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
qiyuangong/leetcode
Python & JAVA Solutions for Leetcode
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
XuehaiPan/nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
pytorch/botorch
Bayesian optimization in PyTorch
SeldonIO/alibi
Algorithms for explaining machine learning models
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
pdfpc/pdfpc
A presenter console with multi-monitor support for PDF files.
suchow/Dissertate
Beautiful LaTeX dissertation templates.
jeanfeydy/geomloss
Geometric loss functions between point clouds, images and volumes
ott-jax/ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
f-dangel/cockpit
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
ermongroup/CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
kilianFatras/awesome-optimal-transport
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
JTT94/diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
yongkaiwu/FairAI
This is a collection of papers and other resources related to fairness.
otokonoko8/implicit-variational-inference
The collection of recent papers about variational inference
ssydasheng/FBNN
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
happenwah/FVI_CV
Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
csong2022/algorithm-design-manual-python
Python translation of algorithm design manual C code.
dtak/ocbnn-public
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
wjmaddox/online_vargp
Online variational GPs
iamalexkorotin/Wasserstein2Barycenters
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
jmaronas/TGP.pytorch
Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
activatedgeek/understanding-bayesian-classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
ermongroup/fairgen
Fair Generative Modeling via Weak Supervision
markvdw/inference-plots