Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Machine Learning in R

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

The collaboration workspace for Machine Learning

mlr3: Machine Learning in R - next generation

Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.

2.4 GHz & 915/868 MHz & 433 MHz/70 cm LoRa based telemetry and radio link for remote controlled vehicles

Efficient CPU/GPU ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet, ArtCNN and more!)

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"

基于 Pytorch 实现推荐系统相关的算法

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/

Dataflow Programming for Machine Learning in R

Probabilistic Learning for mlr3

Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Extra learners for use in mlr3.

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

Recommended learners for mlr3

shiny-mlr: Integration of the mlr package into shiny

A light-weight script for maintaining a LOT of machine learning experiments.

[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

[CVPR 2026 Highlight] Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding

ML Research Resources

[NeurIPS 2025] More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Machine Learning Research Flashcards (for Anki)