CynthiaKoopman

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

imgaug

Image augmentation for machine learning experiments.

lime

Lime: Explaining the predictions of any machine learning classifier

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

places365

The Places365-CNNs for Scene Classification

celluloid

:movie_camera: Matplotlib animations made easy

XPlaneConnect

The X-Plane Communications Toolbox is a research tool used to interact with the X-Plane flight simulator

traffic

A toolbox for processing and analysing air traffic data

realworldrl_suite

Real-World RL Benchmark Suite

Object-Detection-and-Distance-Measurement

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

min-decision-transformer

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

ODMD

Object Depth via Motion and Detection Dataset

Unity_ML_Agents

This is the code for "Unity AI" by Siraj Raval on Youtube

pbt

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

python-science-tutorial

Series of notebooks to illustrate different plotting features using Python

LARD

A runway dataset and a generator of synthetic aerial images with automatic labeling.

mpo

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

deep-reinforcement-learning

Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning

yolov5_monocular_camera_ranging

This repository is a project of monocular camera ranging, which object detection frame is yolov5.

V-MPO_Lunarlander

Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238

yolov4-custom_Training

reinforcement_learning_v_mpo

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

ComparativeStudy

Code for paper: "Road object detection: a comparative study of deep learning-based algorithms" https://link.springer.com/article/10.1007/s11042-022-12447-5