leonardblier

alrao

Implementation of "Learning with Random Learning Rates" in PyTorch.

arctic-captions

descriptionlengthdeeplearning

Experiments from "The Description Length of Deep Learning Models"

ESC50

gans

Playing with gans

neural-models

pyvarinf

ReScience-submission

ReScience submission repository

tensorflow-sentiment

leonardblier/alrao

Implementation of "Learning with Random Learning Rates" in PyTorch.

leonardblier/descriptionlengthdeeplearning

Experiments from "The Description Length of Deep Learning Models"

leonardblier/neural-models

leonardblier/tensorflow-sentiment

leonardblier/ESC50

leonardblier/gans

Playing with gans

leonardblier/pyvarinf

leonardblier/ReScience-submission

ReScience submission repository

leonardblier/arctic-captions

leonardblier/dl-attention

Attention models

leonardblier/emacs

Emacs configuration files

leonardblier/fMRI-inference

leonardblier/gym

A toolkit for developing and comparing reinforcement learning algorithms.

leonardblier/i3config

leonardblier/ImageNetEval

leonardblier/keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

leonardblier/mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

leonardblier/my-neural-art

leonardblier/nmf-tipe

This is the code of my TIPE project for the competitive exams of the Ecole Normale Supérieure

leonardblier/Python-software

Python software for selective inference

leonardblier/pytorch-a2c-ppo-acktr-gail

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

leonardblier/tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.