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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:Langfuse Langfuse Prompt management lifecycle
- Workflow:OpenGVLab InternVL Supervised Finetuning
- Workflow:Openai Openai python Chat Completion
- Workflow:Onnx Onnx Model Validation
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Huggingface Trl GRPO Training
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Promptfoo Promptfoo Project Initialization
Principles
- Principle:Apache Spark Worker Fleet Management
- Principle:Intel Ipex llm LLM Serving With FastAPI
- Principle:Microsoft DeepSpeedExamples ZeRO Stage3 Initialization
- Principle:ChenghaoMou Text dedup SimHash Fingerprinting
- Principle:DevExpress Testcafe Assertion Retry Logic
- Principle:Microsoft Onnxruntime Result Processing
- Principle:BerriAI Litellm Fine Tuning Job Creation
- Principle:Cohere ai Cohere python Tool Call Parsing
- Principle:Cypress io Cypress Release Verification
- Principle:EvolvingLMMs Lab Lmms eval MCP Tool Integration
Implementations
- Implementation:Huggingface Open r1 TrlParser Usage
- Implementation:InternLM Lmdeploy Gemm CtaMap
- Implementation:Kornia Kornia ONNXSequential Export
- Implementation:Run llama Llama index FunctionTool From Defaults
- Implementation:Mit han lab Llm awq NVILA Benchmark
- Implementation:Mlflow Mlflow Models Serve CLI
- Implementation:Isaac sim IsaacGymEnvs BasePlotter
- Implementation:Mit han lab Llm awq InternVL Benchmark
- Implementation:Open compass VLMEvalKit SArena DINO Score
- Implementation:EvolvingLMMs Lab Lmms eval VSIBench Utils
Heuristics
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:FlowiseAI Flowise Tool Ordering Convention
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Huggingface Alignment handbook LoRA Rank Selection
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:Google deepmind Dm control Warning Deprecated Legacy Base Walker
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Unslothai Unsloth Padding Free Packing
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Sail sg LongSpec Training Environment
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment
- Environment:Apache Paimon Python Core Runtime
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Intel Ipex llm Pipeline Parallel Environment
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Alibaba MNN GPU CUDA Environment