ml4a.github.io
ml4a
machine learning for artists
Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.
ml4a
machine learning for artists
ML4ITS
mlachmish
Classify music genre from a 10 second sound stream using a Neural Network.
mlapin
Accurate and fast classification losses for SDCA and neural networks: cross-entropy, top-k, multiclass and multilabel SVM, and distillation losses for PyTorch, JAX, NumPy, Rust, C/C++ and MATLAB
mlcommons
mlcommons
MLPerf® Storage Benchmark Suite
mldbai
MLDB is the Machine Learning Database
mldsqc

How to mix TODO lists, tracking work sessions, habit and mood tracking, computer and smartphone tracking, CBT techniques, analyze them and build recommendation system for task prioritization and balanced life
mli0603
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
mllam
mmasana
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
mmschlk
modal-labs
SDK libraries for Modal
model-architectures
[ICLR 2026] GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)
ModelDepot
moemen95
mokemokechicken
Reversi reinforcement learning by AlphaGo Zero methods.
molecularsets
molmod
mondejar
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
monikkinom
Named Entity Recognition using multilayered bidirectional LSTM
monologg
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
MontaEllis
MONZikWasTaken