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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:Tensorflow Tfjs Sequential Model Training
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Apache Kafka PR Merge And Backport
- Workflow:Openai CLIP Zero shot image classification
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Huggingface Alignment handbook SFT DPO Alignment Pipeline
- Workflow:Unstructured IO Unstructured Document Partitioning
Principles
- Principle:Triton inference server Server LLM Benchmarking
- Principle:Intel Ipex llm LoRA Adapter Injection QLoRA
- Principle:LLMBook zh LLMBook zh github io Bitsandbytes Quantization
- Principle:Microsoft Playwright Set Up Test Resources
- Principle:Langchain ai Langchain Package Configuration
- Principle:Deepspeedai DeepSpeed Pipeline Engine Init
- Principle:Helicone Helicone Provider Key Management
- Principle:Pola rs Polars Data Output Validation
- Principle:PacktPublishing LLM Engineers Handbook Self Query Metadata Extraction
- Principle:Nightwatchjs Nightwatch Project Initialization
Implementations
- Implementation:Ggml org Ggml Gguf init empty
- Implementation:FlowiseAI Flowise ServiceWorker
- Implementation:Microsoft Playwright Server Page
- Implementation:Rapidsai Cuml Dependencies
- Implementation:Deepspeedai DeepSpeed DeepCompile Init
- Implementation:Groq Groq python JSONL Construction
- Implementation:Scikit learn Scikit learn LossFunction
- Implementation:Apache Dolphinscheduler IWorkflowControlClient Recovery
- Implementation:Turboderp org Exllamav2 ExLlamaV2Cache
- Implementation:Microsoft Onnxruntime PlotCommonErrors
Heuristics
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:Openai Openai node Stream Usage Interruption
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Apache Dolphinscheduler Epoll Vs NIO Selection
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
Environments
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Mlc ai Web llm Chrome Extension Manifest V3
- Environment:Bentoml BentoML Python Runtime
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Getgauge Taiko Chromium Browser
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Tensorflow Serving Python Client Environment