Hssan Driss's repositories
bayesian_flow_networks
A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
EWTA-Trajectron-with-M2m
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
mmseg-ood
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
motpe
Implementation of Multiobjective Tree-structured Parzen Estimator
performance-predictor
Performance predictor with learning curves and meta-features
pybnn
Bayesian neural network package
colab-ssh
colab_ssh
dqn-imitation-gymenv
Solving “Cartpole” and “Carracing” from gym environment using (D)-DQN and imitation learning
emacs-conf
Emacs init.el
image-segmentation
Implementing 3 different image segmentation techniques.
or-tools
Google's Operations Research tools:
pareto.py
Nondominated sorting for multi-objective problems
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vscode_settings
My vscode settings