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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:Openai Openai agents python Multi Agent Handoff
- Workflow:Obss Sahi COCO Evaluation
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Heibaiying BigData Notes Spark SQL Data Analysis
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
Principles
- Principle:Fede1024 Rust rdkafka Transactional Offset Commit
- Principle:Mit han lab Llm awq LM Evaluation Harness Adaptation
- Principle:Huggingface Datasets Train Test Splitting
- Principle:Kubeflow Pipelines Data Format Conversion
- Principle:Kubeflow Kubeflow Register Model
- Principle:Webdriverio Webdriverio BrowserStack Accessibility Testing
- Principle:Cleanlab Cleanlab Noise Robust Training
- Principle:Guardrails ai Guardrails HubPackageManagement
- Principle:Intel Ipex llm Environment Validation
- Principle:Apache Hudi Clustering Execution
Implementations
- Implementation:MarketSquare Robotframework browser Rfbrowser Install
- Implementation:Haosulab ManiSkill PartNetFaucetMeta
- Implementation:Spotify Luigi Luigi Build Run
- Implementation:Alibaba MNN ExecutorScope
- Implementation:Lance format Lance Java LanceField
- Implementation:DevExpress Testcafe NativeAutomation CookieProvider
- Implementation:Hiyouga LLaMA Factory Logging
- Implementation:Pola rs Polars Scan LazyFrame Creation
- Implementation:Mlc ai Mlc llm MLCEngineBase Init
- Implementation:Tensorflow Tfjs CPU RaggedTensorToTensor Impl
Heuristics
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:MarketSquare Robotframework browser GRPC Response Chunking
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
Environments
- Environment:Openai Openai node Node 20 Runtime
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Intel Ipex llm NPU Environment
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Mlc ai Web llm Node Build Toolchain
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Bentoml BentoML Triton Inference Server