shikejianalan

learning_research

本人的科研经验

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

robocasa

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

SurRoL

[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

orbit-surgical

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

DeformableAffordance

The official implementation of the paper "Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation". [ICCV 2023]

softgym

SoftGym is a set of benchmark environments for deformable object manipulation.

rl-tutorials

basic algorithms of reinforcement learning

Score-PA_Score-based-3D-Part-Assembly

[BMVC 2023 (Oral)] Score-PA: Score-based 3D Part Assembly

GenPose

[NeurIPS 2023] GenPose: Generative Category-Level Object Pose Estimation via Diffusion Models

GraspNeRF

[ICRA 2023] GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

RL-papers

obsidian_vault_template_for_researcher

This is an vault template for researchers using obsidian.

MML-Companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DataSciencePython

common data analysis and machine learning tasks using python

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

ml-study-plan

The Ultimate FREE Machine Learning Study Plan

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

Google-Data-Analytics-Professional-Certificate

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.