717 Open source projects that are alternatives of or similar to Cleanlab

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

A curated (most recent) list of resources for Learning with Noisy Labels

SPEAR: Programmatically label and build training data quickly.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

TensorFlow implementation for "Guided Optical Flow Learning"

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Weakly supervised medical named entity classification

speech to text with self-supervised learning based on wav2vec 2.0 framework

Learning to Cluster. A deep clustering strategy.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

An extensive machine learning library, made from scratch (Python).

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Implementing machine learning algorithms from scratch.

Implementing Clustering Algorithms from scratch in MATLAB and Python

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

PHP-ML - Machine Learning library for PHP

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

A repo with tutorials for algorithms from scratch

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Unsupervised learning and generative models in python/pytorch.

A simply budget app that predicts where the expenses are being made

Convolutional Autoencoder for Loop Closure

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Python Framework for Extractive Text Summarization

Jupyter notebook and datasets from the pandas Q&A video series

Pytorch implementation of Virtual Adversarial Training

machine learning

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

A PureScript, browser-based implementation of LDA topic modeling.

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

Code for reproducing ICT ( published in IJCAI 2019)

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

An R package for data screening

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

General Assembly's 2015 Data Science course in Washington, DC

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)

Lending Club Loan data analysis

Learning to create Machine Learning Algorithms

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

The repository provides usefull python scripts for ML and data analysis

sources for daal4py - a convenient Python API to oneDAL