rajat-relkar
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This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to pra…
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Best Deep Learning Projects for Advanced Learners
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Dev…
We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some …
Master programming by recreating your favorite technologies from scratch.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Simple and easily configurable grid world environments for reinforcement learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimal and Clean Reinforcement Learning Examples
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.
Implementation of a reinforcement learning algorithm to teach an agent to play a simple game of tic-tac-toe
Python Implementation of Reinforcement Learning: An Introduction
Code for YouTube series: Deep Learning for Audio Classification
DataCamp Project Solutions
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
Anomaly based Malware Detection using Machine Learning (PE and URL)
