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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 |
Explore Pages
Workflows
- Workflow:Neuml Txtai Semantic Search
- Workflow:Apache Hudi Flink Batch Incremental Read
- Workflow:Avhz RustQuant Monte Carlo Option Pricing
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Ggml org Ggml Backend Accelerated Computation
- Workflow:Groq Groq python Chat Completion
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
Principles
- Principle:Online ml River Online One Class SVM
- Principle:Microsoft DeepSpeedExamples DeepSpeed Training Loop
- Principle:Cypress io Cypress CI Environment Configuration
- Principle:Danijar Dreamerv3 Distributed Learner Training
- Principle:Mlflow Mlflow Prompt Alias Management
- Principle:Apache Druid Dimension Measure Configuration
- Principle:ClickHouse ClickHouse Third Party Dependency Management
- Principle:Marker Inc Korea AutoRAG YAML Configuration Authoring
- Principle:CrewAIInc CrewAI Tool Execution And Monitoring
- Principle:Openai Openai node Client Initialization
Implementations
- Implementation:Haosulab ManiSkill Merge Trajectories Func
- Implementation:Online ml River Stream Iter Sklearn
- Implementation:ArroyoSystems Arroyo State Tables
- Implementation:Apache Kafka Kafka Run Class JVM Options
- Implementation:Recommenders team Recommenders GeoIMC Algorithm
- Implementation:Open compass VLMEvalKit WorldSense
- Implementation:Microsoft Onnxruntime SaveCheckpoint
- Implementation:Tencent Ncnn Setup Py
- Implementation:PrefectHQ Prefect Client Read Flow Runs
- Implementation:Pyro ppl Pyro RelaxedStraightThrough
Heuristics
- Heuristic:Protectai Llm guard Fail Fast Early Exit
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:OpenRLHF OpenRLHF Value Head ZeRO3 Init Tip
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:OpenGVLab InternVL Multi GPU ViT Device Mapping
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
Environments
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Sgl project Sglang Distributed
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Lucidrains X transformers PyTorch CUDA