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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Langgenius Dify Application Creation
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:Interpretml Interpret EBM Model Merging
Principles
- Principle:Facebookresearch Habitat lab Registry Registration
- Principle:MarketSquare Robotframework browser Browser Binary Installation
- Principle:Apache Flink PyFlink Build Distribution
- Principle:Apache Shardingsphere In Memory Rule Rebuild
- Principle:Bentoml BentoML Build Configuration
- Principle:AUTOMATIC1111 Stable diffusion webui Attention Optimization
- Principle:OpenHands OpenHands Webhook Reception
- Principle:Mlflow Mlflow Predict Function Definition
- Principle:Ggml org Llama cpp Runtime LoRA Application
- Principle:CrewAIInc CrewAI Conditional Routing
Implementations
- Implementation:Sktime Pytorch forecasting Baseline
- Implementation:Langchain ai Langgraph RemoteGraph Init
- Implementation:TobikoData Sqlmesh StateSync Promote Finalize
- Implementation:InternLM Lmdeploy SamplingPenaltyKernels
- Implementation:Ollama Ollama MLXRunner Sample
- Implementation:Huggingface Open r1 GRPOTrainer Usage
- Implementation:Run llama Llama index AutoMergingRetriever
- Implementation:Predibase Lorax Flash BERT
- Implementation:PacktPublishing LLM Engineers Handbook Settings Load
- Implementation:Dagster io Dagster Tenacity Retry Pattern
Heuristics
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:Lm sys FastChat Flash Attention GPU Requirements
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:Allenai Open instruct Polyak Reference Update
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
Environments
- Environment:Apache Spark Kubernetes Runtime
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Openai Evals Optional Provider APIs