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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:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:Openai Evals Creating a model graded eval
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Sgl project Sglang Frontend Language Multi Turn Chat
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Googleapis Python genai Text Content Generation
- Workflow:Getgauge Taiko Network Request Interception
Principles
- Principle:Allenai Open instruct Training Arguments Configuration
- Principle:Rapidsai Cuml Clustering Evaluation
- Principle:LLMBook zh LLMBook zh github io LoRA Training Execution
- Principle:Ggml org Llama cpp Jinja Template Engine
- Principle:Webdriverio Webdriverio Configuration Design
- Principle:ThreeSR Awesome Inference Time Scaling Entry Format Verification
- Principle:Helicone Helicone Mapper Type Detection
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:PacktPublishing LLM Engineers Handbook AWS IAM Role Provisioning
- Principle:Deepseek ai Janus Image Loading and Preprocessing
Implementations
- Implementation:Turboderp org Exllamav2 Ext RoPE
- Implementation:Openai Openai node Alpha Graders
- Implementation:Vibrantlabsai Ragas HuggingFaceEmbeddings
- Implementation:TobikoData Sqlmesh PlanOptions
- Implementation:NVIDIA TransformerEngine Triton Permutation
- Implementation:MaterializeInc Materialize Namescore CLI
- Implementation:Interpretml Interpret ClassificationTree And RegressionTree
- Implementation:Avhz RustQuant MertonJumpDiffusion Process
- Implementation:Scikit learn Scikit learn StopWords
- Implementation:Apache Paimon RestApi
Heuristics
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Openai Whisper Compression Ratio Threshold
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
Environments
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Apache Hudi Docker Demo Environment
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Sgl project Sglang GitHub Actions
- Environment:Vllm project Vllm Distributed