Luca Franceschi lucfra
Highlights
- Pro
More
Stars
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
source code of the paper: DAG LEARNING ON THE PERMUTAHEDRON
Library for automatic retraining and continual learning
A python library for user-friendly forecasting and anomaly detection on time series.
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Gradient based Hyperparameter Tuning library in PyTorch
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
General purpose wireframe shaders for use in Unity.
The Singular Values of Convolutional Layers
Implementation of Graph Convolutional Networks in TensorFlow
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
Command line to list emails of GitHub repository stargazers.
Gradient-based hyperparameter optimization package with TensorFlow