haowangsir,github

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deeprl

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

deeprl-1

Modularized Implementation of Deep RL Algorithms in PyTorch

design-and-implementation-of-face-recognition-based-on-pynq

Face recognition, computer vision, deep learning, PYNQ, Movidius NCS

dgp-irl

Deep Gaussian Process for Inverse Reinforcement Learning

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Code needed to reproduce the examples found in "Distributed and Localized Closed Loop Distributed Model Predictive Control via System Level Synthesis," by C. Amo Alonso and N. Matni, https://arxiv.org/abs/1909.10074

drlpytorch

Pytorch for Deep Reinforcement Learning

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

easy_slam_tutorial

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

event-triggered-controller

Simple examples for Event-triggered control for network controlled system

example-code

Example code for the book Fluent Python, First Edition (O'Reilly, 2015)

example-code-2e

Example code for Fluent Python, 2nd edition

explore-python

:green_book: The Beauty of Python Programming.

fadc

CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation

far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

fastformers

FastFormers - highly efficient transformer models for NLU

few-machine-learning-projects

These projects use pandas, matplotlib, numpy, scipy and scikitlearn

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

formation-attack-detection-and-defense

Multi-robot formation control. An attacker attack the formation and the formation can detect the attacker, then defend the attack by topology transform.