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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:OpenHands OpenHands SaaS Server Assembly
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Turboderp org Exllamav2 LoRA Adapter Inference
- Workflow:Open compass VLMEvalKit Adding Custom Benchmark
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Princeton nlp SimPO Model Inference
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:Google research Deduplicate text datasets Single file deduplication
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
Principles
- Principle:Zai org CogVideo Video Encoding
- Principle:ClickHouse ClickHouse Fundamental Type Aliases
- Principle:FlowiseAI Flowise Chunk Preview
- Principle:Triton inference server Server Ensemble Validation
- Principle:AUTOMATIC1111 Stable diffusion webui Environment Reproducibility
- Principle:Cohere ai Cohere python Tool Function Execution
- Principle:Apache Dolphinscheduler RPC Client Proxy Pattern
- Principle:ARISE Initiative Robosuite Dynamics Randomization
- Principle:MaterializeInc Materialize Registry Cache Lookup
- Principle:Triton inference server Server Performance Verification
Implementations
- Implementation:Apache Paimon MapType
- Implementation:HKUDS AI Trader US Stock Intraday Price Data
- Implementation:Haosulab ManiSkill TwoRobotPickCube
- Implementation:Arize ai Phoenix Legacy Generate
- Implementation:Risingwavelabs Risingwave TracingSlf4jAdapter
- Implementation:Tensorflow Tfjs Core Layers Test
- Implementation:Pytorch Serve Metrics API
- Implementation:Infiniflow Ragflow Versions
- Implementation:Zai org CogVideo Autoencoder Model
- Implementation:Online ml River Metrics MAPE
Heuristics
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Sdv dev SDV CTGAN Column Performance
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Triton inference server Server Dynamic Batching Tuning
- Heuristic:Apache Hudi Record Level Index Optimization
Environments
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Sgl project Sglang Grafana
- Environment:Getgauge Taiko Docker Container
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Allenai Open instruct Docker Container
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Huggingface Alignment handbook Python TRL