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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:Onnx Onnx Reference Evaluation
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:Ggml org Ggml Backend Accelerated Computation
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:Bentoml BentoML Multi Model Composition
Principles
- Principle:Cleanlab Cleanlab Cross Validation Predicted Probabilities
- Principle:Iterative Dvc Remote Storage Configuration
- Principle:Nightwatchjs Nightwatch Configuration Setup
- Principle:Langfuse Langfuse Post Ingestion Side Effects
- Principle:EvolvingLMMs Lab Lmms eval Experiment Tracking
- Principle:Vllm project Vllm Output Validation
- Principle:FlowiseAI Flowise Evaluation Version Comparison
- Principle:Zai org CogVideo Training Configuration
- Principle:Scikit learn Scikit learn Discriminant Analysis
- Principle:Unslothai Unsloth MoE Grouped GEMM
Implementations
- Implementation:LLMBook zh LLMBook zh github io AutoModelForCausalLM From Pretrained Pretraining
- Implementation:Langgenius Dify Plugin Auth Hooks
- Implementation:ChenghaoMou Text dedup MinHash LSH Cluster
- Implementation:NVIDIA NeMo Curator DecoderUtils
- Implementation:LMCache LMCache V1 Protocol
- Implementation:Guardrails ai Guardrails Guard Use Streaming
- Implementation:Langchain ai Langchain EmbeddingsUnitTests
- Implementation:Volcengine Verl Datasets Load Dataset
- Implementation:Rapidsai Cuml Genetic Common
- Implementation:Microsoft Playwright DefaultFontFamilies
Heuristics
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:ARISE Initiative Robosuite Hard Reset Vs Soft Reset
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Volcengine Verl Inplace Operations OOM Prevention
Environments
- Environment:Kserve Kserve Leader Worker Set
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Huggingface Open r1 vLLM Server
- Environment:TobikoData Sqlmesh Snowflake Connection
- Environment:Openai Openai python Azure OpenAI
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Langchain ai Langgraph Docker Deployment Environment