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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:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Apache Paimon Table Read Write
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Apache Kafka Release Candidate Staging
Principles
- Principle:FlowiseAI Flowise AI Flow Generation
- Principle:Zai org CogVideo Dataset Preparation
- Principle:Rapidsai Cuml Clustering Evaluation
- Principle:Huggingface Datasets Dataset Concatenation
- Principle:Junyanz Pytorch CycleGAN and pix2pix Conditional Image Translation
- Principle:Google deepmind Dm control MJCF Element Query
- Principle:Farama Foundation Gymnasium Atari Preprocessing
- Principle:Langgenius Dify StreamingDataProcessing
- Principle:Duckdb Duckdb Executable Building
- Principle:Axolotl ai cloud Axolotl Continuous Integration Testing
Implementations
- Implementation:Interpretml Interpret PartitionMultiDimensionalCorner
- Implementation:Apache Druid Compaction Dynamic Config Completions
- Implementation:Bentoml BentoML Buildx Backend
- Implementation:Alibaba ROLL Trainer Utils
- Implementation:Truera Trulens TruSession Init
- Implementation:PeterL1n BackgroundMattingV2 MattingRefine
- Implementation:Avhz RustQuant Schedule
- Implementation:Lance format Lance LegacyFixedSizeBinaryEncoding
- Implementation:ArroyoSystems Arroyo Metrics Api Types
- Implementation:LMCache LMCache Fast Serde
Heuristics
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
- Heuristic:Speechbrain Speechbrain Gradient Clipping Strategy
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
Environments
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:Datahub project Datahub Frontend Build
- Environment:Mlc ai Mlc llm CUDA GPU Environment