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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:Kserve Kserve LLM Disaggregated Serving
- Workflow:Mlc ai Web llm Function Calling
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Openai Openai python Audio Processing
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
- Workflow:OpenHands OpenHands Organization Onboarding
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Truera Trulens LangGraph Agent Evaluation
- Workflow:Puppeteer Puppeteer Browser Installation And Management
Principles
- Principle:LaurentMazare Tch rs Seq2Seq Dataset Loading
- Principle:Lucidrains X transformers Autoregressive Data Preparation
- Principle:Hiyouga LLaMA Factory Gradient Checkpointing Theory
- Principle:EvolvingLMMs Lab Lmms eval Dataset Preparation
- Principle:Apache Spark Programmatic Application Launch
- Principle:Online ml River Online Linear Regression
- Principle:Zai org CogVideo T2V Pipeline Loading
- Principle:Recommenders team Recommenders NRMS Architecture
- Principle:Dotnet Machinelearning LambdaMART Ranking
- Principle:Openai Evals Language Modeling Evaluation
Implementations
- Implementation:Apache Paimon UriReader
- Implementation:Tencent Ncnn Darknet2ncnn
- Implementation:Mlc ai Mlc llm Dispatch Triton Kernel
- Implementation:Duckdb Duckdb Zstd Dictionary
- Implementation:Tensorflow Serving source router h
- Implementation:Google deepmind Dm control Composer Task
- Implementation:Microsoft Onnxruntime OrtLoggingLevel
- Implementation:Arize ai Phoenix LLM Prompts
- Implementation:Tensorflow Serving Tfrt Saved Model Warmup
- Implementation:ClickHouse ClickHouse StringViewHash
Heuristics
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Spotify Luigi Atomic File Writes
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:Pola rs Polars Streaming For Large Datasets
Environments
- Environment:Openai Openai agents python OpenAI API Credentials
- Environment:Mit han lab Llm awq Python Runtime Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Apache Beam Portable Runner Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib