Abacus.AI
Abacus.AI is an American enterprise artificial intelligence and machine learning platform company headquartered in San Francisco, California.
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Abacus.AI is an American enterprise artificial intelligence and machine learning platform company headquartered in San Francisco, California.
Candle is a minimalist machine learning framework written in pure Rust and published by Hugging Face under the huggingface/candle GitHub repository.
DSPy (short for Declarative Self-improving Python) is an open-source framework, developed at Stanford NLP, for programming rather than prompting large language models (LLMs).
The Dataset API (tf.data) is the high-performance input pipeline framework within TensorFlow for loading, transforming, and delivering data to machine learning models during training and evaluation.
tf.estimator is a high-level TensorFlow API that encapsulates the complete lifecycle of a machine learning model, including training, evaluation, prediction, and export for serving.
GGML is an open-source tensor library written in pure C that runs machine learning inference efficiently on consumer hardware
GGUF (GPT-Generated Unified Format) is the standard binary file format for storing large language models for local inference, bundling a model's weights, tokenizer, and metadata into a single self-contained…
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.
Kubeflow is an open-source MLOps platform that runs the entire machine learning lifecycle on Kubernetes, described by its creators as a project "dedicated to making using ML stacks on Kubernetes easy, fast and…
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…
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…
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
TensorBoard is the open-source visualization toolkit for TensorFlow, described by Google as "a suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation." It…
TensorFlow Decision Forests (often abbreviated TF-DF) is an open-source Google library for training, serving, and interpreting decision-forest models such as Random Forest and Gradient Boosted Decision Trees…
A vector database is a database that stores data as high-dimensional vectors (numerical embeddings produced by a machine learning model) and retrieves records by similarity rather than exact match
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…
tf.keras is the high-level deep learning API built directly into the TensorFlow machine learning framework