models
Behavior analysis tool
Provides pre-trained machine learning models for detecting and analyzing software development behavior
Machine learning models for MLonCode trained using the source{d} stack
19 stars
10 watching
11 forks
last commit: almost 7 years agoLinked from 1 awesome list
machine-learningmloscmodelnlpsource-code
Related projects:
| Repository | Description | Stars |
|---|---|---|
| src-d/datasets | Provides datasets and tools for analyzing source code in various aspects such as programming languages, commits, and more. | 323 |
 nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
| src-d/gemini | A tool for searching and identifying similar code in large source code repositories. | 54 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 oxid15/cascade | A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 494 |
 tensorflow/model-analysis | Evaluates and visualizes the performance of machine learning models. | 1,258 |
 dmlc/drat | A repository of R packages developed by DMLC team for machine learning applications. | 4 |
 metosin/malli | A Clojure/Script library for defining and manipulating data models as first-class values | 1,523 |
 derekbeaton/plsca_framework | An R package implementing techniques for analyzing multivariate data relationships | 1 |
 vhellendoorn/code-lms | A guide to using pre-trained large language models in source code analysis and generation | 1,789 |
 tdcox/mlops-roadmap | Collaborative effort to define and document the key milestones and strategies for adopting and implementing Machine Learning Operations (MLOps) practices in software development | 16 |
 mlcommons/inference | Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 openbmb/bmlist | A curated list of large machine learning models tracked over time | 341 |