Bittensor
Bittensor is a decentralized machine learning network that uses blockchain-based incentives to pay independent contributors for producing digital commodities such as model inference, training, data, and raw…
Explore learning methods, model architectures, datasets, and practical applications.
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Bittensor is a decentralized machine learning network that uses blockchain-based incentives to pay independent contributors for producing digital commodities such as model inference, training, data, and raw…
Candle is a minimalist machine learning framework written in pure Rust and published by Hugging Face under the huggingface/candle GitHub repository.
CatBoost is an open-source gradient boosted decision trees library developed by Yandex and released to the public on July 18, 2017 .
Cleanlab is an open source Python library for automatically finding and fixing label errors and other data quality problems in machine learning datasets, and the data-centric AI startup, incorporated in 2021
FineWeb is a large-scale, open pretraining dataset for large language models (LLMs) created by Hugging Face.
GGML is an open-source tensor library written in pure C that runs machine learning inference efficiently on consumer hardware
Gradio is an open-source Python library that lets developers build interactive web interfaces for machine learning models, APIs, and arbitrary Python functions in a few lines of code.
Hugging Face is an artificial intelligence company and collaboration platform for machine learning.
inclusionAI is an open-source artificial general intelligence (AGI) research initiative established by Ant Group, the financial-technology affiliate of the Alibaba ecosystem.
LightGBM (short for Light Gradient-Boosting Machine) is a free and open-source gradient boosting framework that trains ensembles of decision trees on tabular data, originally developed at Microsoft Research by…
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, covering experiment tracking, model packaging, a model registry, deployment, and (since 2025) generative-AI…
ModelScope is an open-source Model-as-a-Service (MaaS) platform developed by Alibaba Cloud and DAMO Academy and launched on November 3, 2022, that functions as China's largest AI model and dataset hub…
Open-source AI refers to artificial intelligence systems whose recipients have broad rights to use, study, modify, and share the system, together with access to the materials needed to exercise those rights.
PyTorch is an open-source software library for tensor computation and machine learning.
Ray is an open-source distributed computing framework, developed at the University of California, Berkeley's RISELab and commercialized by Anyscale, that lets developers scale Python and artificial…
RedPajama is a family of large-scale, openly licensed datasets for training large language models (LLMs), created by Together AI with academic and open-source partners to reproduce, in fully open form
Safetensors is an open-source tensor serialization format developed by Hugging Face that stores machine learning model weights as raw tensor data plus a small JSON header
SentencePiece is an open-source, language-agnostic subword tokenization library and detokenizer developed at Google and introduced by Taku Kudo and John Richardson in their 2018 EMNLP system demonstration…
Snorkel is an open-source software framework and methodology for programmatic data labeling that started at Stanford University in 2015 and is licensed under Apache 2.0 .
TensorFlow is an open-source software platform for numerical computation and machine learning.
The Pile is an 825.18 GiB (approximately 886 GB) English text corpus designed for training large language models, assembled from 22 diverse, high-quality subsets spanning academic, professional, internet…
V-JEPA (Video Joint Embedding Predictive Architecture) is a self-supervised video model from Meta AI that learns by predicting masked regions of a video in an abstract latent representation space rather than…
XGBoost (short for eXtreme Gradient Boosting) is an open-source software library that implements an optimized, distributed version of gradient boosted decision trees, and it is one of the most widely used…
fastText is an open-source library for learning word embeddings and performing text classification, developed by Facebook AI Research (FAIR) and released to the public on August 18, 2016 .
llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language models on consumer-grade hardware without…