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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 Openai node Chat Completion
- Workflow:Apache Spark Building and Testing
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:PeterL1n BackgroundMattingV2 Training pipeline
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:Google deepmind Dm control MJCF Model Composition
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
Principles
- Principle:Astronomer Astronomer cosmos Profile Configuration
- Principle:PacktPublishing LLM Engineers Handbook AWS IAM Role Provisioning
- Principle:TA Lib Ta lib python DataFrame Integration
- Principle:Scikit learn Scikit learn Train Test Splitting
- Principle:AUTOMATIC1111 Stable diffusion webui Model Loading
- Principle:Ggml org Llama cpp Chat Completions
- Principle:Arize ai Phoenix OTel Tracer Registration
- Principle:Mlc ai Mlc llm Compiled Artifact Validation
- Principle:Recommenders team Recommenders ALS Recommendation Generation
- Principle:Getgauge Taiko Gauge Environment Configuration
Implementations
- Implementation:Openai Openai python Eval Stored Completions Config
- Implementation:Hpcaitech ColossalAI LoRA Module
- Implementation:Microsoft Playwright Markdown Parser
- Implementation:Mlfoundations Open flamingo Train one epoch
- Implementation:Avdvg InjectGuard CSVLoader Load
- Implementation:Openai Openai python Video Create Params
- Implementation:Interpretml Interpret RandomDeterministic Hpp
- Implementation:Microsoft Playwright Client Errors
- Implementation:CrewAIInc CrewAI DevTools CLI
- Implementation:Vibrantlabsai Ragas AnswerRelevance
Heuristics
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Apache Airflow Memory Management Tips
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Ggml org Ggml Memory Allocation Strategy
Environments
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:ArroyoSystems Arroyo Object Storage
- Environment:DevExpress Testcafe Firefox Marionette