prolearner

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

gluon-ts

Probabilistic time series modeling in Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hyper-representation

This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"

hypertorch

LearningToCompareTF

implementation of the learning to compare article using tensorflow

nonsmooth_implicit_diff

Code for the paper Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates by Riccardo Grazzi, Massimiliano Pontil and Saverio Salzo (ICML 2024).

onlineLTL

python implementation of online learning to learn non-smooth algorithms

procedural-planet

a 3D procedural Planet in THREEJS and WebGl

prolearner/hypertorch

prolearner/procedural-planet

a 3D procedural Planet in THREEJS and WebGl

prolearner/hyper-representation

This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"

prolearner/LearningToCompareTF

implementation of the learning to compare article using tensorflow

prolearner/onlineLTL

python implementation of online learning to learn non-smooth algorithms

prolearner/nonsmooth_implicit_diff

Code for the paper Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates by Riccardo Grazzi, Massimiliano Pontil and Saverio Salzo (ICML 2024).

prolearner/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

prolearner/certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

prolearner/gluon-ts

Probabilistic time series modeling in Python

prolearner/gym

A toolkit for developing and comparing reinforcement learning algorithms.

prolearner/koopmanAE

Consistent Koopman Autoencoders

prolearner/maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

prolearner/movielens

4 different recommendation engines for the MovieLens dataset.

prolearner/neuraloperator

Learning in infinite dimension with neural operators.

prolearner/PokemonGo-Map

Live visualization of all the pokemon in your area... and more!

prolearner/PokemonGo-Map-1

🌏 Live visualization of all the pokemon in your area... and more!

prolearner/pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

prolearner/pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT)

prolearner/riccardograzzi.github.io

prolearner/Spoon-Knife

This repo is for demonstration purposes only.

prolearner/tensorflow

Open source software library for numerical computation using data flow graphs.

prolearner/TensorflowTest

Test to see the capabilities of the tensorflow library

prolearner/wgsl-poseidon

prolearner/wonnx

A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web