Sourisvert

Datasets

DeepAR-pytorch

demand_forecast

eRCaGuy_dotfiles

.bashrc file, terminal prompt that shows current git branch, Arduino setup, Eclipse setup, git diff with line numbers, helpful scripts, improved Linux productivity, etc.

ESRNN-GPU

PyTorch GPU implementation of the ES-RNN model for time series forecasting

event-based_vision_resources

kaggle-web-traffic

1st place solution

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Sourisvert/Datasets

Sourisvert/DeepAR-pytorch

Sourisvert/demand_forecast

Sourisvert/eRCaGuy_dotfiles

.bashrc file, terminal prompt that shows current git branch, Arduino setup, Eclipse setup, git diff with line numbers, helpful scripts, improved Linux productivity, etc.

Sourisvert/ESRNN-GPU

PyTorch GPU implementation of the ES-RNN model for time series forecasting

Sourisvert/event-based_vision_resources

Sourisvert/kaggle-web-traffic

1st place solution

Sourisvert/M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

Sourisvert/n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Sourisvert/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Sourisvert/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 ;)

Sourisvert/pyro

Deep universal probabilistic programming with Python and PyTorch

Sourisvert/pytorch-deform-conv

PyTorch implementation of Deformable Convolution

Sourisvert/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Sourisvert/stylegan2

StyleGAN2 - Official TensorFlow Implementation

Sourisvert/TimeSeries

Implementation of deep learning models for time series in PyTorch.