Pinned Repositories
databricks-xgb
Distributed XGB on Spark with MLFlow model tracking. Code & notes on compatibility of (3!) XGB variants with PySpark/Databricks/MLFlow. Ensure notebook works with Community Edition.
lmd-fastapi-docker
Containerize (Docker) and serve (FastAPI) lmd-comment classifier (ONNX).
lmd_classi
Classifier(s). Complete guide SetFit vs fine-tuned Mistral-7B vs. quantized ONNX model based on multi-e5 embeddings
lmd_ukr
Custom dataset of Le Monde (236 k comments), 1-year-coverage-on-Ukraine & custom made associated API (need Subscriber credentials)
lmd_viz
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
lstm-gpu-jupyter
LSTM (PyTorch) , time series prediction: a benchmark case w/ and w/o stationarity + scaling
match2kd
Save thousands of API calls. Custom model & dataset aiming at predicting a game difficulty score ("lobby avg kd") without calling players' games history stats and profiles.
spark-cluster
Steps to deploy a local spark cluster w/ Docker. Bonus: a ready-to-use notebook for model prediction on Pyspark using spark.ml Pipeline() on a well known dataset
wzkd
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 features.
wzlight
Light asynchronous wrapper for COD Warzone (1) API. Available on PyPi.
matthieuvion's Repositories
matthieuvion/lmd_ukr
Custom dataset of Le Monde (236 k comments), 1-year-coverage-on-Ukraine & custom made associated API (need Subscriber credentials)
matthieuvion/lmd_viz
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
matthieuvion/wzkd
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 features.
matthieuvion/match2kd
Save thousands of API calls. Custom model & dataset aiming at predicting a game difficulty score ("lobby avg kd") without calling players' games history stats and profiles.
matthieuvion/wzlight
Light asynchronous wrapper for COD Warzone (1) API. Available on PyPi.
matthieuvion/databricks-xgb
Distributed XGB on Spark with MLFlow model tracking. Code & notes on compatibility of (3!) XGB variants with PySpark/Databricks/MLFlow. Ensure notebook works with Community Edition.
matthieuvion/lmd_classi
Classifier(s). Complete guide SetFit vs fine-tuned Mistral-7B vs. quantized ONNX model based on multi-e5 embeddings
matthieuvion/lstm-gpu-jupyter
LSTM (PyTorch) , time series prediction: a benchmark case w/ and w/o stationarity + scaling
matthieuvion/spark-cluster
Steps to deploy a local spark cluster w/ Docker. Bonus: a ready-to-use notebook for model prediction on Pyspark using spark.ml Pipeline() on a well known dataset
matthieuvion/lmd-fastapi-docker
Containerize (Docker) and serve (FastAPI) lmd-comment classifier (ONNX).
matthieuvion/matthieuvion
Curious