ZhuoranYang's repositories
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
awesome-courses
List of awesome university courses for learning Computer Science!
Algorithms-1
Data Structures and Algorithms in Python
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
algorithms
Algorithms & Data Structures in C++
algorithms-2
Algorithms & Data Structures in Go
few-shot-cot
Try few shot COT and ICL. Modified from "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
neural-style
Torch implementation of neural style algorithm
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
Reinforcement-Learning-Algorithms
These implementatios shows Convergence and performance of policy and value iteration algorithms, how the convergence of these algorithms to the optimal value function depends on the number of iterations used. Furthermore, I have implemented on-policy SARSA and off-policy Q-learning algorithms and showed how the performance of these algorithms depends on the exploration-exploitation tradeoff, and on learning rates. My experiments were evaluted on benchmark reinforcement learning tasks such as a smallworld, gridworld and a cliffworld MDP to analyze the performance of our algorithms.
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
v120
Proceedings of Learning for Dynamics and Control
zero_shot_few_shot_cot
Zero-Shot and Few-Shot COT and ICL
zhuoranyang.github.io
Academic Website of Zhuoran Yang