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3d_pose_estimation

antoineplumerault

Config files for my GitHub profile.

antoineplumerault.github.io

avae

config.nvim

My nvim configuration

controlling-generative-models-with-continuous-factors-of-variations

Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to address various tasks of computer vision and natural language processing. Their usefulness is nevertheless often limited by the lack of control over the generative process or the poor understanding of the learned representation. To overcome these major issues, very recent work has shown the interest of studying the semantics of the latent space of generative models. In this paper, we propose to advance on the interpretability of the latent space of generative models by introducing a new method to find meaningful directions in the latent space of any generative model along which we can move to control precisely specific properties of the generated image like the position or scale of the object in the image. Our method does not require human annotations and is particularly well suited for the search of directions encoding simple transformations of the generated image, such as translation, zoom or color variations. We demonstrate the effectiveness of our method qualitatively and quantitatively, both for GANs and variational auto-encoders.

filtrage_bayesien_tp_1_matlab

filtrage_bayesien_tp_2_matlab

fish_neural_net_genetics_cpp

A C++ program that simulate the evolution of simple fishes with neural network in a closed environment.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

models

A collection of pre-trained, state-of-the-art models in the ONNX format

optax

Optax is a gradient processing and optimization library for JAX.

pagerank_optimisation_py

pitch_detection_cpp

A C++ program that uses the microphone to find out what pitch is played.

simple_cqt_cpp

tp1_reinforcment_learning_py

tp2_reinforcment_learning_py