prolearner
Post Doc at Istituto Italiano di Tecnologia (IIT), Genoa. Previously CS PhD Student at IIT and UCL.
MicrosoftCambridge
Pinned Repositories
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's Repositories
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/mamba
Mamba SSM architecture
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