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Fit interpretable models. Explain blackbox machine learning.
A toolkit for testing control and planning algorithm for car racing.
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
A repository of links with advice related to grad school applications, research, phd etc
Some records and notes of weekly arXiv papers, GRASP seminars, and resources
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
A list of resources to fund your MS and/or PhD, particularly in computer science.
Development Mindsets, Processes and Methods in Robotics
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contain…
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Autoware - the world's leading open-source software project for autonomous driving
A curated list of awesome human-robot interaction libraries and resources
PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM posi…
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
A playbook for systematically maximizing the performance of deep learning models.
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,…
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
PyTorch Tutorial for Deep Learning Researchers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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[email protected] 版权所有，违权必究 Tan 2018.06
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.