PetropoulakisPanagiotis
Follow
Stars
A toolkit for developing and comparing reinforcement learning algorithms.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Image augmentation for machine learning experiments.
A little word cloud generator in Python
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Simple and comprehensive tutorials in TensorFlow
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…
Point based and tiny object detection and localization code set of UCAS-VG
A Python package to create, run, and post-process MODFLOW-based models.
PyTorch implementation of deep reinforcement learning algorithms
Implementation of Transformer Model in Tensorflow
Reinforcement Learning with Deep Energy-Based Policies
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
Python copulas library for dependency modeling
Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Essential NLP & ML, short & fast pure Python code
Code to prepare and use common datasets for scene analysis tasks
Text Classification using scikit-learn. Classify BBC articles.