OhGreat

AMP

Heteroscedastic temperature estimation for OOD detection

bayesian_nn_pytorch

Bayesian Neural Networks modules in Pytorch.

DART_python

DART (Discrete Algebric Reconstruction Technique) iterative reconstruction algorithm for discrete tomography.

data_compression_ADM

Deep_Dream

Computer vision tool that can create dream-like, psychedelic, over-processed images.

ES_adversarial_attacks_library

Framework for benchmarking black-box adversarial attacks, modeled with ES.

es_for_rl_experimentation

Evolutionary strategies in a reinforcement learning setting for solving OpenAI's gym environments.

Neural_Networks_from_Scratch

Neural networks built from scratch. Introduction to gradient descent and backpropagation techniques by learning to emulate the XOR logic gate.

pharmacokinetics_with_petri_nets

Modeling of paracetamol pharmacokinetics on zebrafish larvae, with Petri Nets.

Recommender_Systems

Recommender Systems with Naive Approaches, UV Matrix Decomposition and Matrix Factorization. Based on Chapter 14 of MMDS book.

OhGreat/DART_python

DART (Discrete Algebric Reconstruction Technique) iterative reconstruction algorithm for discrete tomography.

OhGreat/Recommender_Systems

Recommender Systems with Naive Approaches, UV Matrix Decomposition and Matrix Factorization. Based on Chapter 14 of MMDS book.

OhGreat/Deep_Dream

Computer vision tool that can create dream-like, psychedelic, over-processed images.

OhGreat/Neural_Networks_from_Scratch

Neural networks built from scratch. Introduction to gradient descent and backpropagation techniques by learning to emulate the XOR logic gate.

OhGreat/pharmacokinetics_with_petri_nets

Modeling of paracetamol pharmacokinetics on zebrafish larvae, with Petri Nets.

OhGreat/AMP

Heteroscedastic temperature estimation for OOD detection

OhGreat/bayesian_nn_pytorch

Bayesian Neural Networks modules in Pytorch.

OhGreat/data_compression_ADM

OhGreat/ES_adversarial_attacks_library

Framework for benchmarking black-box adversarial attacks, modeled with ES.

OhGreat/es_for_rl_experimentation

Evolutionary strategies in a reinforcement learning setting for solving OpenAI's gym environments.

OhGreat/DeepQLearning-CartPole

Deep Q Learning applied to the CartPole V1 challenge by OpenAI. The problem is solved both in the naive and the vision scenarios, the latter by exploiting game frames and CNN.

OhGreat/ES_Adversarial_Attacks

Framework for creating Adversarial Attacks on Deep Neural Networks with Evolutionary Strategies (ES).

OhGreat/evolutionary_algorithms

Framework for applying evolutionary strategies to generic optimization problems.

OhGreat/muse-maskgit-pytorch

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

OhGreat/PolicyBased_DeepRL

Policy based Reinforcement Learning techniques with REINFORCE and Actor Critic, applied to OpenAI's gym environments.

OhGreat/tell_the_time_with_pytorch

Neural networks in pytorch capable of predicting the time from an image dataset of analog clock .

OhGreat/User_similarity_netflix_challenge

Finding similar users in the netflix dataset by using Jaccard Similarity, Cosine Similarity and Discrete Cosine Similarity.