SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
Repository Index
47,133 repositories indexed
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Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
- language-modeling
- natural-language-generation
- machine-learning
- deep-learning
PySpark + Scikit-learn = Sparkit-learn
An autoML framework & toolkit for machine learning on graphs.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
- reinforcement-learning
- python
- deep-learning
- gym
fastFM: A Library for Factorization Machines
- machine-learning
- recommender-system
- factorization-machines
- matrix-factorization
mlr3: Machine Learning in R - next generation
- machine-learning
- data-science
- classification
- regression
Curated List: Practical Natural Language Processing done in Ruby
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
This Word Does Not Exist
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Python package for graph statistics
- graph
- data-science
- networks
- python
allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
Examples and experiments around ML for upcoming Coding Train videos
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
Pretrained model hub for Keras 3.