Albert Thomas @albertcthomas.bsky.social
@albertcthomas
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Research engineer in machine learning at Huawei
Joined November 2013
Machine learning researchers—struggling with Python development behind a corporate proxy? In my latest blog post, I share practical tips to manage proxies effectively in a scientific Python environment. Read more here: 1/🧵.
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RT @abenechehab: 🚀 I'm happy to share that our latest paper has been accepted at #ICML2025 🌟. 📌 "AdaPTS: Adapting Univariate Foundation Mod….
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RT @abenechehab: Excited to be heading to Singapore for #ICLR2025 this week! 🇸🇬 . I will be presenting our two latest works across the m….
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RT @scientific_py: Hello friends! 👋. 🔥 We’re working on ecosystem recommendations called specs to foster collaboration and shared best prac….
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RT @abenechehab: 🚀 I'm happy to share that our latest paper has been accepted at #ICLR2025 🌟. 📌 "Zero-shot Model-based Reinforcement Learni….
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RT @hbouammar: I am excited to present Agent K as the first end-to-end agent (i.e., autonomous from Kaggle URL to submissions that win comp….
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uv and mamba make package management much faster. I already use mamba and am considering moving to uv instead of pip. One thing I will miss from pip and conda: they are implemented in python so it was easier for me to read/debug their code if needed.
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Whether you’re new to proxies or just need a refresher, my post aims to help scientific Python users feel more confident with these setups. Read on to learn more: final/🧵.
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Beware of Caching: Some proxies cache configurations, making it difficult to know if your changes are effective. Keep this in mind when testing different setups. 8/🧵.
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Debugging Proxy Issues: Debugging proxies can be tricky. I use urllib3 for quick sanity checks on proxy configurations before diving into complex debugging. 7/🧵.
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Mamba: If you use mamba (a faster alternative to conda), the setup remains similar as it reads the same environment variables for proxy configurations. 6/🧵.
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Conda & Pip: Both tools use the requests library, which handles HTTP requests. Set http_proxy, https_proxy, and REQUESTS_CA_BUNDLE to ensure these tools work smoothly. 5/🧵.
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SSL/TLS Errors: Corporate proxies might replace certificates, causing SSL errors. Instead of disabling SSL verification, add the proxy’s certificate to your system’s CA list for secure connections. 4/🧵.
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Environment Variables: Many tools use http_proxy & https_proxy environment variables. Make sure they’re set up correctly with the proxy URL and credentials, and special characters are properly encoded. 3/🧵.
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What’s a proxy? It’s a server between your corporate network and the web, managing and controlling traffic. Configuring the proxy correctly is key to avoid connectivity issues. 2/🧵.
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Great thread describing our work to apply LLMs for in-context multivariate time series forecasting!.
Looking to leverage LLMs for multivariate time series forecasting? . 🎉 Search no more! You can do exactly that with our new package DICL (Disentangled In-Context Learning). 🖥️ Code & Demo: 📜 New preprint: DICL for RL . 1/🧵
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RT @AmbroiseOdonnat: 🚀Have you heard about @karpathy's tweet on LLMs and Markov chains? Well, we build on this idea in our newest paper🤓. "….
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RT @ylechelle: 🚀 We’re thrilled to announce our latest funding round, supported by key community investors including @scikit_learn contribu….
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RT @AmbroiseOdonnat: 🥳My friend @oussamazekri_ and I are happy to launch our research blog. Today, we are releasing the first blogpost on….
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