🚀
CS student @ Cambridge
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Linear Algebra industry
- London, UK
- andrzejszablewski.github.io
- in/andrzej-szablewski
Highlights
- Pro
Pinned Loading
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low-resource-language-model-adaptation
low-resource-language-model-adaptation PublicAdapting pre-trained large language models to new languages in a low-resource regime 🌍
Python 1
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torch-compile-benchmarks
torch-compile-benchmarks Public⚙️ Investigating how `torch.compile()` recompilations affect prefill and decode latency in LLMs.
Jupyter Notebook
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cam-coding-ml-workshops
cam-coding-ml-workshops PublicRepository with resources for Cambridge coding & ML workshops 2024! 📚💻
Jupyter Notebook 1
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uclcshub/uclcshub.github.io
uclcshub/uclcshub.github.io PublicAll essential UCL CS resources for students by students! 🧑💻🎉
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634 contributions in the last year
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Activity overview
Contributed to
TheRootOf3/andrzejs-margheritas,
Adamliu1/SNLP_GCW,
hakanaktas0/NAT
and 9 other
repositories
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Contribution activity
April 2025
Created 42 commits in 3 repositories
Created 1 repository
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TheRootOf3/mmoe-confidence
Python
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Built by
This contribution was made on Apr 1
Opened 7 pull requests in 1 repository
hakanaktas0/NAT
7
merged
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Modified neural bootstrapped model generation. Added complete benchmarking.
This contribution was made on Apr 11
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Added batching to gnn training.
This contribution was made on Apr 10
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Added counting benchmark to the repo.
This contribution was made on Apr 10
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Refactor of the gnn neural tokenizer code. Improvements to neural tokenization performance.
This contribution was made on Apr 10
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Adding the support for the rnn-bootstrapped model as well as the neural tokenizer code.
This contribution was made on Apr 9
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Modifications to the GNN neural tokenizer training code.
This contribution was made on Apr 9
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Adding the embedding hypernetwork RNN, training code and bootstrapped language model definition
This contribution was made on Apr 8
Reviewed 4 pull requests in 1 repository
hakanaktas0/NAT
4 pull requests
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Added batching to gnn training.
This contribution was made on Apr 10
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Refactor of the gnn neural tokenizer code. Improvements to neural tokenization performance.
This contribution was made on Apr 10
-
Adding the support for the rnn-bootstrapped model as well as the neural tokenizer code.
This contribution was made on Apr 9
-
Adding the embedding hypernetwork RNN, training code and bootstrapped language model definition
This contribution was made on Apr 8
8
contributions
in private repositories
Apr 4 – Apr 10