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libin-star's Projects

3d-openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

rl

The repository which collects some codes that encapsulates commonly used machine learning algorithms. Most are based on numpy, pandas or torch. U can deepen your understanding to related model and algorithm or revise it to get customized code belongs yourself by referring to this repository. I'm very glad that it can give u a bit of inspiration.

rl-from-2023-epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

rl-from-2023-malib

A parallel framework for population-based multi-agent reinforcement learning.

rl-from-2023-mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

rl-from-2023-multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

rl-from-2023-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

rl-from-2023-rllib

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rl-from-2023-unity

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

rl-from2023-marllib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

rl-from2023-openrl

Unified Reinforcement Learning Framework

senet.pytorch

PyTorch implementation of SENet

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wangshusen.github.io

王树森

yolo-series-improvements

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolox-based-on-swin-transformer

以Swin Transformer作为骨干网络的YoloX目标检测项目

yolox-swintransformer-ckpt

YOLOX with SwinTransformer backbone.

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