5-day longest streak
Hi there 👋 Since April 2025, I am a research engineer at GenBio AI , working on pre-training foundation models for biology. Before that, I was a researcher at TII…
Hi there 👋
Since April 2025, I am a research engineer at GenBio AI, working on pre-training foundation models for biology. Before that, I was a researcher at TII, working on various aspects of LLMs such as optimization for pre-training, and distillation. Before that, I graduated in June 2024 from a PhD in Machine Learning from MBZUAI, in Abu Dhabi, UAE, under the supervision of Pr. Bin Gu, where I was working on optimization for machine learning, in particular on zeroth-order optimization, and sparse learning. I also worked with Pr. Xiao-Tong Yuan on several projects. Before that, I graduated with an MSc. from Supélec in 2016 (now part of CentraleSupelec and Paris Saclay University), and have worked at Sidetrade as a data scientist (2016-2017), at Inria in the Magnet Team as a research engineer (2017-2019), and at Huawei in the Paris Research and Algorithmic Lab as a PhD student (2019-2021).
Feel free to check my personal page: wdevazelhes.github.io !
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2SP_icml2025
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Jupyter Notebook ★ 4 1y agoExplain → -
IRKSN_AAAI2024
No description.
Jupyter Notebook ★ 3 2y agoExplain → -
fast-nca ⑂
Fast implementation of the Neighborhood Component Analysis algorithm
Python ★ 2 8y agoExplain → -
metric-learn ⑂
Metric learning algorithms in Python
Python ★ 1 2y agoExplain → -
scikit-learn ⑂
scikit-learn: machine learning in Python
Python ★ 1 5y agoExplain → -
metric-bench
Small repository to benchmark some metric learning algorithms.
Python ★ 1 8y agoExplain → -
wdevazelhes.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
HTML ★ 0 4mo agoExplain → -
wdevazelhes
No description.
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Megatron-LM ⑂
Ongoing research training transformer models at scale
Python ★ 0 1y agoExplain → -
skglm ⑂
Fast and modular sklearn replacement for generalized linear models
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benchmark_sparse_support_recovery ⑂
Benchopt benchmark for sparse support recovery problems.
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Black-Box-Prompt
No description.
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metric-learn-feedstock ⑂
A conda-smithy repository for metric-learn.
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advatt
No description.
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BregmanLearning ⑂
Optimizing neural networks via an inverse scale space flow.
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ML702
No description.
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evolution-strategies-starter ⑂
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
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ZO-AdaMM ⑂
Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'
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emacs-init ⑂
My Emacs init configuration
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wae ⑂
Wasserstein Auto-Encoders
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flax ⑂
Flax is a neural network library for JAX that is designed for flexibility.
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metric-learn-whitepaper ⑂
No description.
TeX ★ 0 6y agoExplain → -
scikit-learn-contrib ⑂
scikit-learn compatible projects
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ristretto ⑂
Randomized Dimension Reduction Library
Python ★ 0 7y agoExplain → -
skggm ⑂
Scikit-learn compatible estimation of general graphical models
Python ★ 0 7y agoExplain → -
api_metric_learn
No description.
Jupyter Notebook ★ 0 8y agoExplain → -
pylmnn ⑂
A python implementation of LMNN
Python ★ 0 8y agoExplain →
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