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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 Deploying InferenceService
- Workflow:BerriAI Litellm Response Caching
- Workflow:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:DevExpress Testcafe CLI Test Execution
- Workflow:Truera Trulens Snowflake Observability Pipeline
- Workflow:OpenBMB UltraFeedback Completion Generation
- Workflow:Snorkel team Snorkel Data Augmentation
- Workflow:HKUDS AI Trader Data Pipeline
Principles
- Principle:Snorkel team Snorkel Dict Dataset Preparation
- Principle:ClickHouse ClickHouse Portable Atomic Operations
- Principle:Pytorch Serve Recommendation Model Serving
- Principle:EvolvingLMMs Lab Lmms eval Task Directory Structure
- Principle:Confident ai Deepeval Assertion Based Evaluation
- Principle:Elevenlabs Elevenlabs python Text to Speech Conversion
- Principle:Openai CLIP Text Tokenization
- Principle:Nautechsystems Nautilus trader Config Driven Backtesting
- Principle:Huggingface Trl DPO Preference Dataset Loading
- Principle:Trailofbits Fickling Benchmark Dataset Construction
Implementations
- Implementation:Ggml org Ggml Ggml backend sched graph compute
- Implementation:EvolvingLMMs Lab Lmms eval GroupConfig
- Implementation:Vibrantlabsai Ragas AnswerSimilarity
- Implementation:Ucbepic Docetl Directive ReduceGleaning
- Implementation:Vibrantlabsai Ragas Iterate Prompt Evals
- Implementation:CARLA simulator Carla TrafficManager Class
- Implementation:Webdriverio Webdriverio Config Utils
- Implementation:Datahub project Datahub EntityClient Upsert
- Implementation:Ggml org Ggml Cann aclnn ops
- Implementation:Vllm project Vllm SM100 MLA Tile Scheduler
Heuristics
- Heuristic:Liu00222 Open Prompt Injection PPL Threshold Tuning
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Datahub project Datahub Spark Databricks Coalescing
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:DevExpress Testcafe Video Encoding Defaults
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:Marker Inc Korea AutoRAG Empty Result Fallback
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
Environments
- Environment:Sail sg LongSpec Inference Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Arize ai Phoenix Python Runtime
- Environment:Alibaba MNN Python Export Environment
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment