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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:LaurentMazare Tch rs JIT Model Inference
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:Arize ai Phoenix LLM Evaluation Pipeline
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
Principles
- Principle:Risingwavelabs Risingwave Connector Observability
- Principle:Togethercomputer Together python Fine Tuning Job Monitoring
- Principle:Apache Druid SQL Schema Configuration
- Principle:Mistralai Client python Stream Lifecycle Management
- Principle:Ollama Ollama LlamaCpp CGo Bridge
- Principle:Fastai Fastbook Backpropagation
- Principle:Sktime Pytorch forecasting Tensor Utilities
- Principle:Deepspeedai DeepSpeed AutoTP Model Loading
- Principle:Webdriverio Webdriverio Configuration Management
- Principle:Cleanlab Cleanlab Segmentation Issue Visualization
Implementations
- Implementation:Vibrantlabsai Ragas FactualCorrectness
- Implementation:Datahub project Datahub ProtobufExtensionUtil
- Implementation:CARLA simulator Carla ROS2 Interface
- Implementation:Mlc ai Mlc llm Fuse Transpose Matmul
- Implementation:Apache Hudi CompactOperator ProcessElement
- Implementation:Openclaw Openclaw GatewayServiceInstall
- Implementation:Google deepmind Mujoco USD JointAPI
- Implementation:LMCache LMCache Mooncake Lookup Client
- Implementation:EvolvingLMMs Lab Lmms eval ScreenSpot Utils Rec
- Implementation:OpenHands OpenHands SaaSGitLabService
Heuristics
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
- Heuristic:Duckdb Duckdb Version Sync Across Files
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Apache Dolphinscheduler Epoll Vs NIO Selection
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
Environments
- Environment:Heibaiying BigData Notes Hadoop CDH Environment
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Snorkel team Snorkel PySpark
- Environment:Spotify Luigi Apache Spark
- Environment:Dagster io Dagster GRPC Communication