Awesome Generative AI Data Scientist
Section: Fine-tuning · No code fine-tuning of LLMs and other machine learning tasks.
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AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks.
Section: Fine-tuning · No code fine-tuning of LLMs and other machine learning tasks.
Section: 微调 Fine-Tuning
Section: Model Training and Orchestration · AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks.
Section: Machine Learning Frameworks · 🤗 AutoTrain Advanced
Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
A cloud-native platform for machine learning based on Google's internal machine learning pipelines.
High-level library for training and evaluating neural networks in PyTorch with an engine, events & handlers system for maximum flexibility. BSD-3-Clause licensed.
Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc..
Low-code framework for building custom LLMs and deep neural networks. Declarative YAML configuration for training state-of-the-art models with PEFT/LoRA, 4-bit quantization, distributed training via Hugging Face Accelerate, and native Kubernetes support. Linux Foundation AI project. Apache 2.0…
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.