PierrickPochelu

AsynchronousEnsemble

Two asynchronous ensemble designs. Their inference speed is compared on CPU, GPU, TPU.

Benchmark_Anomaly_Detection_On_Timeseries

Benchmark unsupervised anomaly detectors

CombiOptimRLlib

HPC workload scheduling problem with RL and Heuristics

Course_MLonHPC

Some materials I developed and co-teach with my colleague O.C.

deep_learning_uncertainty_estimate

Benchmarks of deep learning methods to calibrate uncertainty estimates (MC-dropout, ensemble, variational model, temperature scaling, ...)

inference_framework_benchmark

JaxDecompiler

Jax Decompiler

MASAC_IPU

MASAC on IPU

OpticalNeuralNetworks

Simple optical neural network training/converting experiments based on numpy API

word_tree_label

neural network to learn paths in decision tree

PierrickPochelu/JaxDecompiler

Jax Decompiler

PierrickPochelu/inference_framework_benchmark

PierrickPochelu/Benchmark_Anomaly_Detection_On_Timeseries

Benchmark unsupervised anomaly detectors

PierrickPochelu/OpticalNeuralNetworks

Simple optical neural network training/converting experiments based on numpy API

PierrickPochelu/word_tree_label

neural network to learn paths in decision tree

PierrickPochelu/deep_learning_uncertainty_estimate

Benchmarks of deep learning methods to calibrate uncertainty estimates (MC-dropout, ensemble, variational model, temperature scaling, ...)

PierrickPochelu/MASAC_IPU

MASAC on IPU

PierrickPochelu/AsynchronousEnsemble

Two asynchronous ensemble designs. Their inference speed is compared on CPU, GPU, TPU.

PierrickPochelu/CombiOptimRLlib

HPC workload scheduling problem with RL and Heuristics

PierrickPochelu/Course_MLonHPC

Some materials I developed and co-teach with my colleague O.C.

PierrickPochelu/GPIPE_pytorch_experiments

PierrickPochelu/DeepPapers

My tools for processing scientific literature

PierrickPochelu/IPU_GPU_running_context

RunningContext object allows to simplify the deployment of deep learning on multi-IPUs or multi-GPUs

PierrickPochelu/NCC-Trainings

Fork dedicated to AI/HPDA/HPC

PierrickPochelu/RNGWR

Random Number Generator Without Repetition in O(1)

PierrickPochelu/scikit-learn

scikit-learn: machine learning in Python

PierrickPochelu/simpn

SimPN (Simulation with Petri Nets) is a package for discrete event simulation in Python.

PierrickPochelu/survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

PierrickPochelu/ulhpc-docs

ULHPC Technical Documentation (mkdocs-based) - https://hpc-docs.uni.lu

PierrickPochelu/ulhpc_ml_benchmark

Benchmark of many ML algorithms at once for easy platform evaluation