kiarashgeraili

ITC_FFC

A Unified Code Base to Train Evaluate and Test n Different Models in ITC Lab

Advancing-Image-Classification-in-CIFAR-10-with-CNN-and-MobileNetV2-Transfer-Learning

Deep Learning Image Classification with CIFAR-10 Dataset Using CNN (with Transfer learning using MobileNetV2 architecture, pre-trained on the ImageNet dataset, for object detection on CIFAR-10 )

Exploring-Neural-Network-Fundamentals-Image-Compression-with-Multi-Layer-Perceptron

Multi Layer Perceptron Image Compression: Implementation from Scratch

continue

⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

neural_additive_models-1

stand alone Neural Additive Models, forked from google-reasearch for easy import to colab

DeepBind-with-PyTorch

CNN architecture for predicting DNA binding sites for Transcription Factors

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

fifty

FiFTy: Large-scale File Fragment Type Identification using Neural Networks

Convex-Optimization

Implementation and analysis of convex optimization algorithms

Lip

RBFDQN_pytorch

CloudSim

Cloud scheduling simulator

RL-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.