ludwig-ai / ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
☆11,178Updated last week
Related projects ⓘ
Alternatives and complementary repositories for ludwig
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆30,128Updated 2 weeks ago
- Deep universal probabilistic programming with Python and PyTorch☆8,549Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,247Updated 2 months ago
- An open source python library for automated feature engineering☆7,257Updated this week
- Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems☆8,224Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆30,426Updated this week
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,567Updated this week
- Modin: Scale your Pandas workflows by changing a single line of code☆9,875Updated last month
- AutoML library for deep learning☆9,145Updated this week
- A natural language modeling framework based on PyTorch☆6,338Updated 2 years ago
- A system for quickly generating training data with weak supervision☆5,807Updated 6 months ago
- Production infrastructure for machine learning at scale☆8,020Updated 4 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,290Updated last month
- Open standard for machine learning interoperability☆17,893Updated this week
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆10,488Updated last year
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆18,461Updated last week
- Trax — Deep Learning with Clear Code and Speed☆8,093Updated last month
- A very simple framework for state-of-the-art Natural Language Processing (NLP)☆13,928Updated 2 weeks ago
- Visualizations for machine learning datasets☆7,355Updated last year
- 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, …☆18,902Updated last week
- Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk☆13,233Updated 3 months ago
- Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stre…☆8,150Updated this week
- Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, R…☆2,814Updated 3 months ago
- Parallel computing with task scheduling☆12,576Updated this week
- Automatic extraction of relevant features from time series:☆8,426Updated 3 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,043Updated 4 months ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆33,803Updated this week
- Topic Modelling for Humans☆15,657Updated 2 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆11,761Updated this week
- 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.☆3,385Updated 2 months ago