dmarx/dmarx-github-stars huggingface dataset:
Repository: ludwig-ai/ludwig
Description: Low-code framework for building custom LLMs, neural networks, and other AI models
Language: Python
Topics: computer-vision, data-centric, data-science, deep, deep-learning, deeplearning, fine-tuning, learning, llama, llama2, llm, llm-training, machine-learning, machinelearning, mistral, ml, natural-language, natural-language-processing, neural-network, pytorch
Homepage: http://ludwig.ai
Repository: ray-project/ray
Description: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Language: Python
Topics: automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, llm-serving, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow
Homepage: https://ray.io