Pinned Repositories
ACC2019
Matlab Code ACC-2019 paper: Adaptive Observer for Charge-State and Crossover Estimation in Disproportionation Flow Batteries undergoing Self-Discharge
activityrecognition
Resources about activity recognition-行为识别资料
AnimationRigging-AdvancedSetups
Distributable samples demonstrating advanced setups and use cases for Unity's Animation Rigging package
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ARL_Project
Using Genetic Algorithm to mimic snake locomotion in Snake Robots
awesome-machine-learning-cn
机器学习资源大全中文版，包括机器学习领域的框架、库以及软件
Cassie_Robot_Resources
list of papers, videos and codes about the bipedal robot Cassie developed by Agility Robotics
Charging-Curve-Prediction
RopeDrivenRedundantSnakeRobotSimulation
snake_sim_GA
Finding the optimized gait motion of the snake robot using genetic algorithm
chunsonglin's Repositories
chunsonglin/RopeDrivenRedundantSnakeRobotSimulation
chunsonglin/snake_sim_GA
Finding the optimized gait motion of the snake robot using genetic algorithm
chunsonglin/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
chunsonglin/ARL_Project
Using Genetic Algorithm to mimic snake locomotion in Snake Robots
chunsonglin/Charging-Curve-Prediction
chunsonglin/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
chunsonglin/deeplearning-models
A collection of various deep learning architectures, models, and tips
chunsonglin/EA_Battery_SPMparameterization
Electrochemical lithium-ion battery model of reduced-order to predict unmeasurable cell states for fast charging control in real time. Methods for parameterization of the model based on half and full cell measurements are provided.
chunsonglin/EV_Battery_DVA_Clustering
Repository for battery cell clustering in python
chunsonglin/Godot-Demos
Godot demos and tutorials
chunsonglin/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
chunsonglin/gym
A toolkit for developing and comparing reinforcement learning algorithms.
chunsonglin/Hybrid-Battery-Feature-Selection
chunsonglin/Hybrid_transfer
Comparison of various transfer learning models with the hybridization of an LSTM for battery RUL prediction
chunsonglin/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
chunsonglin/Machine-Learning-Battery-SOC-Estimaton-Electric-Vehicles
chunsonglin/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
chunsonglin/ML-Carbon_Supercapacitor
Using machine learning to predict the performance of supercapacitors.
chunsonglin/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
chunsonglin/Object-RPE
chunsonglin/PyBaMM
Fast and flexible physics-based battery models in Python
chunsonglin/quad-sdk
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
chunsonglin/RL_Snake_Robot
RL_Snake_Robot
chunsonglin/robot_snake_4
robot_snake_4使用
chunsonglin/Simscape_SPMeT_Degredation
Lithium-ion Battery Single Particle Model with Electrolyte and thermal dynamics, including degradation modes.
chunsonglin/snake
Reinforcement Learning on HEBI SEA - Snake Robot
chunsonglin/Snake-Robot
chunsonglin/soft-arm-sim
Full dynamic simulation of soft/springy robot arm
chunsonglin/Two_Stage_RUL_Prediction
The code is for the paper "Ma et al. A Two-Stage Integrated Method for Early Prediction of Remaining Useful Life of Lithium-ion Batteries"
chunsonglin/Ultra-early-performance-prediction
Data and code for the paper "Ultra-early prediction of lithium-ion battery performance using mechanism and data-driven fusion model"