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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:HKUDS AI Trader Agent Decision Loop
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:Heibaiying BigData Notes Spark SQL Data Analysis
- Workflow:Dagster io Dagster ML Pipeline
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
Principles
- Principle:Volcengine Verl Evaluation And Checkpointing
- Principle:Apache Hudi Table Schema Definition
- Principle:Open compass VLMEvalKit MCQ Prompt Construction
- Principle:OpenHands OpenHands Runtime Provisioning
- Principle:ContextualAI HALOs LM Eval Benchmarking
- Principle:PrefectHQ Prefect Dbt Project Setup
- Principle:Kubeflow Pipelines Combined Control Flow
- Principle:Cohere ai Cohere python Streaming Chat Request
- Principle:Astronomer Astronomer cosmos Execution Configuration
- Principle:Langgenius Dify PluginArchitecture
Implementations
- Implementation:Openai CLIP CLIP Encode Image For Linear Probe
- Implementation:Huggingface Datasets Extension To Module
- Implementation:Guardrails ai Guardrails Structured Data Utils
- Implementation:Neuml Txtai Similarity
- Implementation:Marker Inc Korea AutoRAG Runner Init
- Implementation:Langchain ai Langgraph Pregel Invoke
- Implementation:NVIDIA DALI C API V2 Data Objects Header
- Implementation:Treeverse LakeFS Java SDK Model ErrorNoACL
- Implementation:Vibrantlabsai Ragas LiteLLM
- Implementation:Arize ai Phoenix Prompts Create
Heuristics
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Predibase Lorax Warning Deprecated BitsAndBytes 8bit
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
Environments
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Sgl project Sglang Python Dependencies
- Environment:Apache Shardingsphere Calcite Federation Engine
- Environment:Huggingface Diffusers Attention Backends
- Environment:Ucbepic Docetl Python Runtime
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Openai Openai node OpenAI API Credentials
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Ray project Ray Java Build Environment
- Environment:Ggml org Ggml C Cpp Build Environment