Skills tagged "machine learning"

stable-baselines3 - Production-ready reinforcement learning algorithms library
reinforcement learning machine learning algorithms PyTorch
★ 602 · Updated 2026-06-30
PyTorch-based RL algorithms library for training agents and creating custom environments
⚙ train RL agents ⚙ create custom environments ⚙ implement callbacks
autoresearch - Autonomous ML Research Experiments
machine learning autonomous experiments model training ML research
★ 0 · Updated 2026-06-30
Run autonomous ML experiments that modify training code, train models, evaluate results, and iterate
⚙ read training code ⚙ plan experiments ⚙ modify training code
stable-baselines3 - Production-ready RL Algorithms
machine learning reinforcement learning PyTorch model training
★ 23 · Updated 2026-06-30
PyTorch-based RL algorithms for training agents, custom environments, callbacks, and workflow optimization
⚙ train RL agent ⚙ create environment ⚙ implement callback
tooluniverse - Access 600+ Scientific Research Tools
bioinformatics genomics drug discovery scientific tools
★ 394 · Updated 2026-06-30
Discover, execute, and compose 600+ scientific tools for bioinformatics, genomics, and drug discovery research
⚙ discover tools ⚙ execute tools ⚙ compose workflows
local-finetune - Local LoRA Fine-Tuning Pipeline
fine-tuning local model machine learning data pipeline
★ 64 · Updated 2026-06-30
Pipeline for embedding skills into local models via LoRA fine-tuning on Apple Silicon
⚙ ingest Claude history ⚙ ingest skill files ⚙ generate training pairs
mlops-best-practices - MLOps Best Practices Guide
mlops machine learning model deployment model monitoring
★ 84 · Updated 2026-06-15
MLOps practices for model versioning, tracking, deployment, monitoring, and retraining workflows
⚙ track experiments ⚙ version models ⚙ deploy models
pytorch - PyTorch Deep Learning Framework
deep learning neural networks machine learning GPU computing
★ 602 · Updated 2026-06-15
Build and train neural networks with dynamic computation graphs and GPU acceleration
⚙ create tensors ⚙ compute gradients ⚙ define models
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
sagemaker - Amazon SageMaker Management via CLI
aws sagemaker machine learning mlops
★ 3 · Updated 2026-05-28
Manage Amazon SageMaker notebooks, training jobs, models, endpoints, and pipelines via AWS CLI.
⚙ list notebook instances ⚙ describe notebook instance ⚙ list training jobs
experiment-design - Research Experiment Design Tool
experiment design research planning machine learning ablation study
★ 73 · Updated 2026-05-28
Design reproducible experiments from hypothesis to plan
⚙ define research hypotheses ⚙ define research variables ⚙ select evaluation metrics
numerai-experiment-design - Numerai Experiment Design
Numerai experiments machine learning quantitative finance model evaluation
★ 0 · Updated 2026-05-28
Design, run, and report Numerai experiments through systematic testing rounds
⚙ design experiments ⚙ create configs ⚙ run training
detect-anomalies-aiops - AI-Powered Anomaly Detection for Operations
aiops anomaly detection time series machine learning
★ 34 · Updated 2026-05-28
Detect anomalies in operational metrics using machine learning and time series analysis
⚙ load time series metrics ⚙ detect anomalies ⚙ forecast metrics
numerai-experiment-design - Numerai Experiment Design Workflow
Numerai machine learning experiment design modeling
★ 1,182 · Updated 2026-05-28
Design and manage Numerai experiments for model ideas
⚙ plan experiments ⚙ create configs ⚙ run training
ml-deployment-helper - ML Model Production Deployment Tool
MLOps model deployment containerization FastAPI
★ 18 · Updated 2026-05-11
Prepares ML models for production deployment with containerization, APIs, monitoring, and A/B testing infrastructure
⚙ containerize model ⚙ create API endpoint ⚙ setup monitoring
replicate - Run AI models via Replicate API
AI models machine learning image generation video generation
★ 0 · Updated 2026-05-11
Discover, compare, and run AI models using Replicate's API
⚙ discover models ⚙ compare models ⚙ run AI models
ml-deployment-helper - ML Model Production Deployment
machine learning model deployment MLOps containerization
★ 602 · Updated 2026-05-11
Generates deployment artifacts for ML models with APIs, containerization, monitoring, and A/B testing infrastructure
⚙ containerize model ⚙ create API endpoint ⚙ setup monitoring
vllm-ascend-model-adapter - Adapt Models for vLLM on Ascend NPU
machine learning model adaptation Hugging Face Ascend NPU
★ 2,882 · Updated 2026-05-11
Adapt and debug Hugging Face or local models to run on vLLM-Ascend with minimal changes and deterministic validation
⚙ Analyze model configuration files ⚙ Implement model adapter code ⚙ Register model architecture
replicate - Discover and run AI models on Replicate
AI machine learning image generation video generation
★ 20,232 · Updated 2026-05-11
Run AI models to generate images, videos, audio, and perform ML inference via Replicate API
⚙ create prediction ⚙ poll prediction ⚙ cancel prediction
exploratory-sota-research - Exploratory AI/ML Research Mapping
AI research literature review machine learning state-of-the-art
★ 41 · Updated 2026-05-09
Map AI/ML state of the art for technical problems through mechanism-based literature search and benchmark mapping.
⚙ conduct exploratory literature search ⚙ map state-of-the-art ⚙ analyze mechanism landscape
wandb-experiment-tracking - W&B Experiment Tracking Integration
experiment tracking machine learning logging W&B
★ 4 · Updated 2026-05-09
Integrate W&B experiment tracking into ML training pipelines with logging and configuration
⚙ log metrics ⚙ initialize runs ⚙ configure logging

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