Skills with output "training logs"

stable-baselines3 - Production-ready RL Algorithms
machine learning reinforcement learning PyTorch model training
★ 26 · Updated 2026-06-30
PyTorch-based RL algorithms for training agents, custom environments, callbacks, and workflow optimization
⚙ train RL agent ⚙ create environment ⚙ implement callback
verl-rl-training - RL Training for LLMs with verl
LLM Reinforcement Learning Training Distributed Systems
★ 0 · Updated 2026-06-30
Train large language models with reinforcement learning algorithms using the verl library
⚙ implement RLHF ⚙ configure GRPO ⚙ run PPO
relax-dev-debug - Relax RL Development and Debugging
development debugging Ray RL
★ 67 · Updated 2026-06-30
Develop and debug Relax RL project with code changes and remote training validation
⚙ modify code ⚙ submit Ray job ⚙ monitor job logs
stable-baselines3 - Train RL Agents with Stable Baselines3
reinforcement learning machine learning agents training RL algorithms
★ 16 · Updated 2026-06-15
Implement RL algorithms and train agents using PyTorch-based library
⚙ train RL agents ⚙ create custom environments ⚙ implement callbacks
pytorch-lightning - PyTorch Lightning Training Framework
Training Framework Distributed Training PyTorch Lightning Deep Learning
★ 3 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and minimal boilerplate
⚙ train model ⚙ validate model ⚙ test model
pytorch-lightning - PyTorch Lightning Training Framework
PyTorch Lightning Training Framework Distributed Training DDP
★ 0 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and minimal boilerplate
⚙ train model ⚙ switch device ⚙ run distributed training
pytorch-lightning - PyTorch Lightning High-Level Training Framework
PyTorch Lightning Training Framework Distributed Training DDP
★ 1 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and callbacks
⚙ organize code ⚙ train model ⚙ validate model
miles-rl-training - Enterprise RL Training Framework
Reinforcement Learning MoE FP8 INT4
★ 650 · Updated 2026-05-11
Enterprise-grade RL training framework for large MoE models with FP8/INT4 support
⚙ train MoE models ⚙ configure FP8 training ⚙ configure INT4 training
unsloth-finetuning - Fine-tune LLMs with Unsloth
LLM fine-tuning 4-bit quantization LoRA
★ 650 · Updated 2026-03-26
Fine-tune LLMs with Unsloth using 4-bit quantization and LoRA
⚙ load 4-bit quantized models ⚙ configure LoRA parameters ⚙ train on datasets
Dog - Dog care management assistant
dog pet care health tracking veterinary
★ 33 · Updated 2026-03-23
Manage dog health records, walks, training, routines, travel, and vet coordination with emergency triage.
⚙ track dog health ⚙ manage dog walks ⚙ schedule training sessions
pytorch-architecture - PyTorch Architecture Design & Best Practices
machine learning PyTorch deep learning distributed training
★ 0 · Updated 2026-03-10
Design and implement PyTorch modules with best practices for memory, DDP, and performance.
⚙ design encoder modules ⚙ design decoder modules ⚙ design loss modules
adapting-transfer-learning-models - Automated Transfer Learning Model Adaptation
machine-learning transfer-learning model-fine-tuning ai-adaptation
★ 0 · Updated 2026-03-09
Automates the adaptation of pre-trained machine learning models using transfer learning techniques
⚙ analyze model adaptation requirements ⚙ generate fine-tuning code ⚙ implement validation processes
adapting-transfer-learning-models - Automated Transfer Learning Model Adaptation
machine learning transfer learning model adaptation fine-tuning
★ 2,781 · Updated 2026-03-09
Automates the adaptation of pre-trained machine learning models using transfer learning techniques
⚙ analyze user requirements ⚙ generate adaptation code ⚙ implement validation handling