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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:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Run llama Llama index RAG Query Pipeline
- Workflow:Online ml River Time Series Forecasting
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:Helicone Helicone Local Development Setup
Principles
- Principle:Hiyouga LLaMA Factory Dataset Format Conversion
- Principle:Apache Paimon Catalog Object Model
- Principle:Cohere ai Cohere python Finetuning Configuration
- Principle:Haifengl Smile Matrix Arithmetic
- Principle:Dotnet Machinelearning LambdaMART Ranking
- Principle:Infiniflow Ragflow Dataflow Pipeline
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:Snorkel team Snorkel Task Operation Definition
- Principle:Haifengl Smile SQL Database Connection
- Principle:Apache Druid SQL Schema Configuration
Implementations
- Implementation:Duckdb Duckdb Mbedtls PK
- Implementation:Promptfoo Promptfoo loadApiProvider
- Implementation:Ggml org Llama cpp Memory Header
- Implementation:Deepspeedai DeepSpeed Sparse Attention Utils
- Implementation:Microsoft Onnxruntime CUDA GatherNDGrad
- Implementation:ClickHouse ClickHouse Poco SocketAddress Impl
- Implementation:Online ml River Ensemble VotingClassifier
- Implementation:Triton inference server Server L0 Sagemaker Test
- Implementation:Microsoft Onnxruntime ESLintConfig
- Implementation:NVIDIA NeMo Curator RayDataExecutor
Heuristics
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
Environments
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Huggingface Transformers Python 310 Runtime
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials