Popular GitHub Repositories for Bezier Curves

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

:sparkles: A plotter for reinforcement learning (RL)

? ?? ? online 3D multiplayer neural networks based racing game

?? Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Developing a four-legged Quadruped robot 'DIPLOID' with stable walking by reinforced learning on bezier gait and terrain awareness using SLAM technique as a part of long-term project undertaken by Team Robocon. (2019-present)

Point Projection On Parametric Curves / Trajectory Maps for Autonomous Driving

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FI?ER et al.

A transparent PyTorch micro-framework for pragmatic research code. Comes with a terminal-based IDE for stateful and iterative debugging.

Functional Latent datA Models for clusterING heterogeneOus curveS

? Experiment tracking for TensorFlow/Keras. Log, organize, and compare model metrics, learning curves, hyperparameters, dataset versions, and more.

Find out if there are new planets using Deep Learning

A Welding Anomaly Detection system using unsupervised Machine Learning and statistical analysis to identify anomalies in welding process curves.

ML-FinFraud-Detector is a machine learning project for detecting financial transaction fraud. Utilizing XGBoost, precision-recall, and ROC curves, it provides accurate fraud detection. Explore feature importance, evaluate model performance, and enhance financial security with this comprehensive fraud detection solution.

The research paper introduces a Bezier curve optimization method to improve control signal smoothness and trajectory tracking accuracy for the Donkey Car autonomous vehicle platform.

Fitting GPs to count data for non-linear regression of epi-curves

Applying Bezier curves and 68 Face Landmarks to Map Left and Right Cheek Zones

Performance predictor with learning curves and meta-features

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.