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matthieuvion/README.md
LinkedIn Badge Kaggle Badge HuggingFace Badge

Ex. data scientist @Linkfluence (Radarly). NLP, tabular data, time-series, APIs, but curious about anything, really.


Current projects : NLP, LLM fine-tuning / deployment optimization :
  • lmd_classi : Classifier 3 classes on pro-russian comments. From (small) annotated data + baseline w/ few-shot model (SetFit) to synthetic data generation, LLM (Mistral-7B / LLama3-8B) fine-tuning and multi-e5-base classifier w/ quantization for deployment (FastAPI/Docker/GCP). Full guide, ressources, benchmarks, available as organized notebooks & code (Kaggle + Hugginface + WandB)
  • lmd_viz : Ukraine War (1st year) : comments as a proxy for people engagement. Viz + crafted a 200k comments dataset from Le Monde w/ my own API (usable "as is").

Cool stuff :

  • wzkd app & match2kd : reverse engineering matchmaking score from players' features only ; using XGB & streamlit App.
  • wzlight : light wrapper around COD WZ api (discontinuated since). Also available on PyPi.

My favorite AI/ML newsletter (should read it too!) :

Data Machina : not mine, not sponsored. Technical-but-simple enough and existed way before the LLM hype.

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  1. lmd_viz lmd_viz Public

    https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss

    HTML 4

  2. wzkd wzkd Public

    Streamlit-based dashboard that collect, aggr. and visualize player's stats from Call of Duty Warzone1. Also deploy our model (cf. /match2kd repo) to predict game difficulty ("lobby kd") from game f…

    Python 4

  3. lmd-fastapi-docker lmd-fastapi-docker Public

    Containerize (Docker) and serve (FastAPI) lmd-comment classifier (ONNX).

    Python

  4. mt-leaderboard mt-leaderboard Public

    Just to crunch some stats. Reverse engineering unofficial/undocumented API for Monster Train (game) daily challenge scoreboards.

    C# 1