HHNM

gaikpy

Full-pose inverse kinematics solver for URDF based robot models in pure python using a genetic algoritm.

Robotics

ANN Python packages for calculating the Scorbot ER VII Inverse Kinematics and also a ROS simulation package

ik-geo

Inverse kinematics and subproblem solutions from "IK-Geo: Unified Robot Inverse Kinematics Using Subproblem Decomposition" implemented in MATLAB, C++, Rust, and Python.

QuIK

A fast inverse kinematics library.

BasicEnvWithGRPC

Testing Unity with gRPC connection

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

biosim4

Biological evolution simulator

Generative_Deep_Learning_2nd_Edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

examples

Kinematics-Tutorial-for-Unity3D

Use of forward and inverse kinematics using CCD and Jacobian methods. Oriented for people willing to learn IK theory.

UnityGenericIKSystem

An easy to understand, open source implementation of Inverse Kinematics for Unity 3D

Unity-BodyMorph

A tool for adjusting bone proportions in real time for Unity Humanoid Rigs.

awesome-LLM-game-agent-papers

A Survey on Large Language Model-Based Game Agents

modern-robotics-course

This repository is all the lessons for Modern Robotics Course.

SVM_weight_constraints

This Python code returns the weights, bias (if any) and margin using more general support-vector machine (SVM) in which weights can be constrained and bias can be discarded.

books-ML-and-DL

.pdf Format Books for Machine and Deep Learning

ml-road

Machine Learning Resources, Practice and Research

NN-SVG

Publication-ready NN-architecture schematics.

Learning-Robotics-using-Python

Learning Robotics using Python, published by Packt

Learning-Robotics-using-Python-Second-Edition

Codes of Learning Robotics using Python, Second Edition

SuGaR

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

awesome-3D-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

awesome-3d-reconstruction-papers

A collection of 3D reconstruction papers in the deep learning era.

Pixel2Mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

TF_FLAME

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

machine_unlearning

Existing Literature about Machine Unlearning

metaheuristic-training-networks

An implementation of various metaheuristics adapted to train neural networks

A-Star-Search-Algorithm-Python-Implementation

This is the A Star algorithm Python implementation

MOSA-cnn-hyperparams-optimization

Multi-objective Simulated Annealing for Hyper-parameter Optimization in Convolutional Neural Networks