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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:Mlc ai Web llm Chrome Extension Integration
- Workflow:Iterative Dvc Data Tracking
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Huggingface Alignment handbook ORPO Single Stage Alignment
- Workflow:ClickHouse ClickHouse Packaging For Distribution
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Fastai Fastbook Neural Network From Scratch
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
Principles
- Principle:NVIDIA TransformerEngine Distributed Initialization
- Principle:Huggingface Optimum Accelerated Pipeline Configuration
- Principle:Triton inference server Server Jetson Edge Deployment
- Principle:Open compass VLMEvalKit Image Inference Orchestration
- Principle:Ggml org Llama cpp Text To Speech
- Principle:Cleanlab Cleanlab Label Issue Filtering
- Principle:Axolotl ai cloud Axolotl Serverless Deployment Configuration
- Principle:Mlc ai Web llm Function Calling Model Selection
- Principle:Ggml org Ggml Vision Model Loading
- Principle:LMCache LMCache Disaggregated Proxy Routing
Implementations
- Implementation:FlagOpen FlagEmbedding Reinforced IR Get Prompts
- Implementation:Hiyouga LLaMA Factory V1 Base Trainer
- Implementation:Huggingface Datatrove PipelineStep
- Implementation:ClickHouse ClickHouse BFloat16
- Implementation:Openai Evals GeminiSolver
- Implementation:Openai Openai node Examples Lockfile
- Implementation:MarketSquare Robotframework browser Response Util
- Implementation:Microsoft Onnxruntime FloatTensorType Init
- Implementation:Bentoml BentoML Deployment Create
- Implementation:Kubeflow Pipelines GPU Resource Request Sample
Heuristics
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:PeterL1n BackgroundMattingV2 Checkpoint Interval Tuning
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Spcl Graph of thoughts Scoring With Error Counting
- Heuristic:Shiyu coder Kronos Gradient Clipping Strategy
- Heuristic:Elevenlabs Elevenlabs python Audio Buffer Sizes
Environments
- Environment:Getgauge Taiko Node Runtime
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Fastai Fastbook NLP SpaCy Environment
- Environment:Vllm project Vllm CUDA Hopper
- Environment:Liu00222 Open Prompt Injection Python Dependencies
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:Sgl project Sglang OpenAI