enjamamulhoq's repositories
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
counterfactualms
counterfactuals for magnetic resonance images of multiple sclerosis
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
GAN-Implementations-from-Scratch-with-PyTorch-and-TensorFlow
Generative Adversarial Network (GAN) Implementations from Scratch with PyTorch and TensorFlow
image_transformer
Pytorch implementation of the image transformer for unconditional image generation
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 2167 LeetCode Problems (Weekly Update)
nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
NYU-DLSP21
NYU Deep Learning Spring 2021
PhyDNet
Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"
PINN-elastodynamics
physics-informed neural network for elastodynamics problem
ProDiff
PyTorch Implementation of ProDiff (ACM-MM'22) with a Extremely-Fast diffusion speech synthesis pipeline
pytorchTutorial
PyTorch Tutorials from my YouTube channel
sciann-applications
A place to share problems solved with SciANN
shap
A game theoretic approach to explain the output of any machine learning model.
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
University-at-Buffalo
A placeholder repository to manage code for all the assignments done at the University at Buffalo
VTK
Mirror of Visualization Toolkit repository