A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
Repository Index
47,133 repositories indexed
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[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
Pretrained model hub for Keras 3.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
30 different honeypots in one package! (dhcp, dns, elastic, ftp, http proxy, https proxy, http, https, imap, ipp, irc, ldap, memcache, mssql, mysql, ntp, oracle, pjl, pop3, postgres, rdp, redis, sip, smb, smtp, snmp, socks5, ssh, telnet, vnc)
- pypi
- monitoring-tool
- network-analysis
- malware-analysis
Reconcile stuck AI-agent tasks after restarts and timeouts. Preview SQLite changes, close stale delivery states, and never guess success.
- agent-runtime
- python
- sqlite
- task-state
Awesome Reverse Engineering Anything: tools, projects, case studies and research papers for websites, games, apps, binaries, firmware and communication protocols.
A scikit-learn based module for multi-label et. al. classification
- classification
- scikit
- scikit-learn
- multi-label
Scalable Machine Learning with Dask
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Factorization machines in python
Fold papers, web pages, files, and AI replies into five levels of detail. Zoom from an overview to the original text.
- arxiv
- llm
- local-first
- open-source
Innovation-first digital audio workstation (DAW), instrument and effect plugins, wave editor
- daw
- sequencer
- digital-audio-workstation
- songs
Sample applications built using AWS' Amazon Machine Learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
PyTorch to Keras model convertor
- pytorch
- keras-model-convertor
- keras
- tensorflow
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
AWS operations by cli should be simpler
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network