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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:Eric mitchell Direct preference optimization SFT Training
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Ggml org Llama cpp Embedding Extraction
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
Principles
- Principle:Googleapis Python genai Local Tokenization
- Principle:DataExpert io Data engineer handbook Tumbling Window
- Principle:Spotify Luigi URI Target Resolution
- Principle:Triton inference server Server Ensemble Validation
- Principle:CrewAIInc CrewAI Task Definition Hierarchical
- Principle:FMInference FlexLLMGen HELM Scenario Configuration
- Principle:Heibaiying BigData Notes MapReduce Combiner
- Principle:ClickHouse ClickHouse Unicode Character Width
- Principle:Openai Openai agents python Result Extraction
- Principle:Apache Druid Query History
Implementations
- Implementation:NVIDIA DALI S3 Filesystem
- Implementation:FlagOpen FlagEmbedding BGE M3 Modeling
- Implementation:LLMBook zh LLMBook zh github io GPTQConfig Quantization
- Implementation:Huggingface Datatrove JapaneseTokenizer
- Implementation:Scikit learn Scikit learn PLSRegression
- Implementation:Microsoft Autogen Studio Playground Manager
- Implementation:Mlc ai Mlc llm Debug Entrypoints
- Implementation:Facebookresearch Habitat lab EQA CNN Pretrain Trainer
- Implementation:Arize ai Phoenix TracerProvider Instrumentation
- Implementation:Hpcaitech ColossalAI DPOTrainer
Heuristics
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Tencent Ncnn Thread Count Tuning
- Heuristic:Openai Whisper No Speech Detection
- Heuristic:Sdv dev SDV CTGAN Column Performance
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
Environments
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Allenai Open instruct Python 3 12 Runtime
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Alibaba MNN GPU OpenCL Environment