tristandeleu

jax-comln

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

jax-dag-gflownet

Code for "Bayesian Structure Learning with Generative Flow Networks"

jax-meta-learning

A collection of meta-learning algorithms in Jax

neural-gpu

Theano implementation of the Neural GPU

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-structured-sparsity

Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch

switching-kalman-filter

Python implementation of the Switching Kalman Filter

tristandeleu/pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

tristandeleu/pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

tristandeleu/ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

tristandeleu/pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

tristandeleu/jax-dag-gflownet

Code for "Bayesian Structure Learning with Generative Flow Networks"

tristandeleu/jax-comln

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

tristandeleu/jax-meta-learning

A collection of meta-learning algorithms in Jax

tristandeleu/pytorch-structured-sparsity

Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch

tristandeleu/switching-kalman-filter

Python implementation of the Switching Kalman Filter

tristandeleu/gfn-maxent-rl

Comparison between GFlowNets & Maximum Entropy RL

tristandeleu/neural-gpu

Theano implementation of the Neural GPU

tristandeleu/jax-jsp-gfn

Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"

tristandeleu/metax

A collection of extensions for meta-learning in JAX

tristandeleu/tips-research-mila

General tips to drive your research at Mila

tristandeleu/Awesome-GFlowNets

A curated list of resources about generative flow networks (GFlowNets).

tristandeleu/gflownet-bib

Bibtex file for related work in GFlowNet

tristandeleu/synergies-disentanglement-sparsity

Official code for the paper "Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning" (ICML 2023)

tristandeleu/gfn

tristandeleu/pfrl

PFRL: a PyTorch-based deep reinforcement learning library

tristandeleu/pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

tristandeleu/rlpyt

Reinforcement Learning in PyTorch

tristandeleu/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tristandeleu/blog

tristandeleu/gym

A toolkit for developing and comparing reinforcement learning algorithms.

tristandeleu/jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

tristandeleu/SimpleParsing

Simple, Elegant, Typed Argument Parsing with argparse

tristandeleu/sumu