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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:DevExpress Testcafe CLI Test Execution
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Treeverse LakeFS S3 Gateway Integration
- Workflow:Microsoft Autogen Tool Augmented Agent
- Workflow:Apache Spark Release Process
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Sdv dev SDV Constrained synthesis
Principles
- Principle:Haotian liu LLaVA Feature Alignment Pretraining
- Principle:Lm sys FastChat SFT Data Preparation
- Principle:Huggingface Datatrove Document Filtering Framework
- Principle:OpenGVLab InternVL Learning Rate Scheduling
- Principle:Elevenlabs Elevenlabs python Text to Speech Conversion
- Principle:Ggml org Ggml Model Quantization
- Principle:Scikit learn contrib Imbalanced learn Synthetic Minority Oversampling
- Principle:Nightwatchjs Nightwatch Configuration Setup
- Principle:Apache Kafka Artifact Signing
- Principle:Microsoft DeepSpeedExamples Vision Language Projection
Implementations
- Implementation:ArroyoSystems Arroyo Confluent Connector
- Implementation:Open compass VLMEvalKit WeThinkVL
- Implementation:Open compass VLMEvalKit MiniCPM V
- Implementation:Datajuicer Data juicer TextTaggingByPromptMapper
- Implementation:Open compass VLMEvalKit OCRBench V2 Eval
- Implementation:LaurentMazare Tch rs Optimizer Backward Step
- Implementation:Openai Openai python Response Refusal Delta
- Implementation:Microsoft Playwright Generate Channels
- Implementation:Huggingface Transformers Modular Model Detector
- Implementation:Hpcaitech ColossalAI Train Prompts On Ray
Heuristics
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Testtimescaling Testtimescaling github io Persist Credentials False
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
Environments
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Apache Spark Release Build Environment
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Mit han lab Llm awq Python Runtime Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:Haotian liu LLaVA OpenAI API Evaluation Environment
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment