vik0909's repositories
acwj
A Compiler Writing Journey
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
Depth-Anything-V2
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
DRL-dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
DRL-mujoco-cassie-mujoco-sim
A simulation library for Agility Robotics' Cassie robot using MuJoCo
esp-idf
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
full_coverage_path_planner
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
grok-1
Grok open release
Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
mlimpl
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
MyTinySTL
Achieve a tiny STL in C++11
rk3588-yolo-demo
The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
rknn-cpp-Multithreading
A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
rknn-multi-threaded
A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
rl-mpc-locomotion
Deep RL for MPC control of Quadruped Robot Locomotion
rl-robot-movement
This repository contains the implementation of a Deep Deterministic Policy Gradient (DDPG) algorithm applied to solve the Reacher environment in Unity ML-Agents.
robopal
robopal 是一个基于 MuJoCo 动力学引擎与 pinocchio 机器人动力学库搭建的多平台开源机器人仿真框架，主要用于机械臂的深度强化学习训练与控制算法验证。
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
ubuntu-rockchip
Ubuntu 22.04 and 24.04 for Rockchip RK35XX Devices
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
WebServer
A C++ High Performance Web Server
yolov7-rknn
Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).