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Starred repositories
100-Days-Of-ML-Code中文版
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
📡 Simple and ready-to-use tutorials for TensorFlow
My blogs and code for machine learning. http://cnblogs.com/pinard
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
Deep Learning Illustrated (2020)
A repo for the pre-course work at home exercises
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Create real-time plots in Jupyter Notebooks.
An introduction to Bayesian statistics using Python and (coming soon) R.
Python code explaining how to display structural and functional fMRI data.
This repo contains all the notebooks mentioned in blog.
Course materials for "Linux programming for Bioinformatics"
A toolkit for easily building and evaluating machine learning models.
Benchmarking LLMs' Gaming Ability in Multi-Agent Environments
Python-based tutorial on Connectome-based Predictive Modeling (CPM), originally prepared for Georgetown Methods Lab.
Code accompanying the manuscript: Van Baar, J., Chang, L., & Sanfey, A.G. (2019). The computational and neural substrates of moral strategies in social decision-making. Nature Communications.
Classification of Day-Night images by Image Processing using OpenCV
基于卷积神经网络U-Net实现生物医学影像分割,使用pytorch框架实现
Big Five personality trait prediction on First Impressions V2 dataset