chenmagi Goto Github PK
Name: Magi Chen
Type: User
Location: Taiwan
Magi Chen's Projects
ai4eda
The State of AI in EDA: A Look at the Latest Research
awesome-computer-vision
A curated list of awesome computer vision resources
bandit
A 10-armed bandit problem example in Python
blackjack-monte-carlo
A blackjack problem with Monte Carlo Method
busydocker
Collection of Dockerfiles for software developers' daily use
chat-with-pdfs-using-llms
Simple PDF chatbot using LangChain, OpenAI API, FAISS and Streamlit.
cv2018
dreamplace-docker
Enrich the functionality of DREAMPlace's docker build
graph-neural-network-review
homework-0
introduction-to-pattern-recognition-a-matlab-approach
Software for the book: “Introduction to Pattern Recognition: a MATLAB Approach”, Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras Academic Press (imprint of Elsevier Science), 2010
kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
mdp
Markov Decision Process in Python
mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
nthu-route
nthu-route 2.11
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
q-cartpole-td0
Implement Q-learning in Python with the Cartpole game of OpenAI Gym.
transformers.satisfy
propositional satisfiability problem (SAT) goes neural and deep
vae
Variational Autoencoder with Pytorch Lightning
vlsi
EDA algorithms
vlsi2018
xplace
Xplace 2.0: An Extremely Fast, Extensible and Deterministic Placement Framework with Detailed-Routability Optimization
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