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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:Openai Evals Creating a model graded eval
- Workflow:Neuml Txtai Agent Execution
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Microsoft Playwright API testing
- Workflow:Apache Paimon Table Read Write
- Workflow:Arize ai Phoenix LLM Evaluation Pipeline
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
Principles
- Principle:Langgenius Dify ReactLifecycleManagement
- Principle:Langfuse Langfuse Dataset Item Processing
- Principle:Trailofbits Fickling Pickle Payload Injection
- Principle:EvolvingLMMs Lab Lmms eval Model Type Selection
- Principle:Togethercomputer Together python LLM Evaluation
- Principle:Alibaba MNN Diffusion ONNX Export
- Principle:Cleanlab Cleanlab Issue Reporting
- Principle:Groq Groq python Text Embedding Request
- Principle:Ray project Ray Cross Language Serialization
- Principle:Langgenius Dify Debug Console Testing
Implementations
- Implementation:Recommenders team Recommenders Benchmark Results Analysis
- Implementation:Truera Trulens Session Get Leaderboard
- Implementation:Mlflow Mlflow Search Traces
- Implementation:Speechbrain Speechbrain AISHELL1 Seq2seq Hparams
- Implementation:Mlc ai Mlc llm GPT BigCode Model
- Implementation:Openai Openai node Browser Webpack Lockfile
- Implementation:Neuml Txtai TokenDetection
- Implementation:Online ml River Stats SEM
- Implementation:Huggingface Trl Get Dataset Apply Chat Template
- Implementation:Google deepmind Dm control Composer Observables
Heuristics
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:SqueezeAILab ETS Softmax Temperature Tuning
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:PeterL1n BackgroundMattingV2 ONNX Patch Method Compatibility
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
Environments
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Allenai Open instruct vLLM Inference
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:NVIDIA NeMo Curator Video Codec Stack