bpesquet

PostersAndPresentations

My Academic Posters and Presentations

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

drawio

draw.io is a JavaScript, client-side editor for general diagramming.

draw_convnet

tutorials

PyTorch tutorials.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

numpy-ml

Machine learning, in numpy

spleeter

Deezer source separation library including pretrained models.

thinking-in-tensors-writing-in-pytorch

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Terminal.Gui

Cross Platform Terminal UI toolkit for .NET

C-sharp-console-gui-framework

A GUI framework for C# console applications

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

joelnet

live coding deep learning library

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

learn_ml_by_coding

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Machine-Learning--Projects

Projects and datasets for Machine Learning

fullstack.ai

cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

alpha_zero_othello

A functional Alpha Zero that plays Othello using Keras

keras-tuner

A Hyperparameter Tuning Library for Keras

diff-zoo

Differentiation for Hackers

how-web-works

What happens behind the scenes when we type www.google.com in a browser?

deeplearning-models

A collection of various deep learning architectures, models, and tips

lime

Lime: Explaining the predictions of any machine learning classifier

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Machine-Learning-and-Data-Science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.