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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:Dagster io Dagster Dbt Integration
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
Principles
- Principle:Apache Kafka JIRA Issue Resolution
- Principle:Duckdb Duckdb Unicode Processing
- Principle:PacktPublishing LLM Engineers Handbook Vector Similarity Search
- Principle:DataTalksClub Data engineering zoomcamp Dlt Pipeline Execution
- Principle:LaurentMazare Tch rs Dataset Iteration
- Principle:Scikit learn Scikit learn Manifold Learning
- Principle:Tensorflow Serving JSON Response Serialization
- Principle:EvolvingLMMs Lab Lmms eval Request Padding
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:Langgenius Dify Service Layer Architecture
Implementations
- Implementation:NVIDIA TransformerEngine Debug Log Tensor Stats
- Implementation:Mlc ai Mlc llm Generation Config
- Implementation:Microsoft Onnxruntime CUDA GradientControl
- Implementation:Vibrantlabsai Ragas QuotedSpans
- Implementation:Arize ai Phoenix Docs Site Config
- Implementation:Fede1024 Rust rdkafka StreamConsumer Recv
- Implementation:Ollama Ollama Llama Memory Recurrent Types
- Implementation:Open compass VLMEvalKit VGRPBench Aquarium
- Implementation:Huggingface Datasets Arrow Builder
- Implementation:DevExpress Testcafe FirefoxMarionetteClient
Heuristics
- Heuristic:Trailofbits Fickling Injection Mode Selection
- Heuristic:ARISE Initiative Robosuite Observation Key Selection
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Huggingface Optimum Device Offload Constraints
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:ChenghaoMou Text dedup False Positive Verification Tradeoff
- Heuristic:Haifengl Smile BFGS Convergence Tuning
Environments
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Marker Inc Korea AutoRAG Vector Database Backends
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:Apache Spark Kubernetes Runtime
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Datahub project Datahub Python Ingestion