Pinned Repositories
adv-denoising
Defence against adversarial images using denoising auto encoders and stochastic pooling
affine-variational-autoencoder
Affine Variational Autoencoder in Pytorch
breakHis
Baseline performance on BreakHis dataset with pre-trained models
camelyon
Classification of WSIs from the Camelyon dataset in Pytorch
cancer_hist
Classification and localization of nuclei in breast cancer histology slides
disentangled-3d
gan-finance
Generative adversarial net for financial data
hvae
Hierarchical Variational Autoencoder in pytorch
papers
text-classification-benchmark
Inference speed / accuracy tradeoff on text classification with transformer models such as BERT, RoBERTa, DeBERTa, SqueezeBERT, MobileBERT, Funnel Transformer, etc.
renebidart's Repositories
renebidart/breakHis
Baseline performance on BreakHis dataset with pre-trained models
renebidart/papers
renebidart/camelyon
Classification of WSIs from the Camelyon dataset in Pytorch
renebidart/hvae
Hierarchical Variational Autoencoder in pytorch
renebidart/cancer_hist
Classification and localization of nuclei in breast cancer histology slides
renebidart/text-classification-benchmark
Inference speed / accuracy tradeoff on text classification with transformer models such as BERT, RoBERTa, DeBERTa, SqueezeBERT, MobileBERT, Funnel Transformer, etc.
renebidart/adv-denoising
Defence against adversarial images using denoising auto encoders and stochastic pooling
renebidart/affine-variational-autoencoder
Affine Variational Autoencoder in Pytorch
renebidart/disentangled-3d
renebidart/idc
Classifying IDC in Breast Cancer Histology Images and training fused ensembles
renebidart/academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
renebidart/adv-gen
renebidart/AnalysisBySynthesis
Adversarially Robust Neural Network on MNIST.
renebidart/cifar10-fast
renebidart/evol
Evolution strategies for finding learning rates and other hyper parameters
renebidart/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
renebidart/intrinsic-dimension-pytorch
renebidart/long-range-arena
Long Range Arena for Benchmarking Efficient Transformers
renebidart/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
renebidart/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
renebidart/pytorch-cifar
95.16% on CIFAR10 with PyTorch
renebidart/pytorch_testing
renebidart/renebidart.github.io
renebidart/renebidart.github.io_old
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
renebidart/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
renebidart/sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
renebidart/stratified-sampling
stratified sampling with unknown variance
renebidart/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
renebidart/VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories
renebidart/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch