Computer Laboratory

Large-Scale Data Processing and Optimisation (2019-2020 Michaelmas Term)

LSDPO - R244

review_log

Open Source Projects

Reading Club papers

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 Mini Project List

Current list of mini projects as follows. You are free to change any time, just let me know if you change.

Name OpenSource Project Mini Project Title
Alexander Harri Bell-Thomas Edward Implementing Q-Learning in Edward
Ari Ball-Burack TensorFlow Eager & Pytorch Dynamic batching in TensorFlow Eager vs dynamic computation graphs in PyTorch: Sentiment analysis using TreeLSTM
Claire Coffey GraphX and Spark  Parallel shortest-path route planning on real-world road networks: SP over graph processing and GNN based SP 
David Adeboye TensorFlow+Spark MLlib  Analyse the differences of training CNN between tF and Spark MLib 
Grzegorz Wilk Kubernetes Exploring Kubernetes: Container management (automated load balancer)
Harrison Brown Park Packet classification in Park
Julius Sebastian Lischeid Spark + Chaos Hypergraphs in Chaos
Tim Lazarus  TensorFlow and PyTorch TensorFlow 2.0, PyTorch and PyTorch with its JIT compiler
Niall Egan Apache Storm + Spark Streaming Performance comparison of Apache Storm and Spark Streaming 
Nnaemeka Obodoekwe Kafka, ElasticSearch and Apache Spark Streaming platform analysis over Kafka application to an elastic search application to Apache Spark
Oliver Hope Naiad + GNN  Graph algorithm benchmarking: Comparison over Naiad and GNN approach
Stefan Ivanov TensorFlow 2 and Kubernetes Deployment Environment for Machine Learning Models with Kubernetes