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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:Langchain ai Langchain Adding Partner Integration
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Groq Groq python Text Embedding
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Huggingface Datasets Dataset Streaming
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
Principles
- Principle:Marker Inc Korea AutoRAG Strategy Selection
- Principle:FlagOpen FlagEmbedding Embedding Similarity Computation
- Principle:SeleniumHQ Selenium Code Formatting Pipeline
- Principle:Sktime Pytorch forecasting TimeXer Architecture
- Principle:Microsoft DeepSpeedExamples Inference Performance Measurement
- Principle:Diagram of thought Diagram of thought Final Synthesis
- Principle:SeleniumHQ Selenium Bazel Build Verification
- Principle:Tencent Ncnn Neural Network Inference
- Principle:Microsoft Agent framework Magentic Orchestration Pattern
- Principle:Huggingface Open r1 Training Callbacks
Implementations
- Implementation:Confident ai Deepeval Update Current Span
- Implementation:Risingwavelabs Risingwave MySqlOffsetContext
- Implementation:Haotian liu LLaVA Predictor Class
- Implementation:Evidentlyai Evidently Legacy Text Part Feature
- Implementation:Neuml Txtai SBert Vectors
- Implementation:Treeverse LakeFS Java SDK Model ObjectStats
- Implementation:Microsoft Playwright PageAgentDispatcher
- Implementation:Microsoft DeepSpeedExamples PreLN Bert LayerDrop Modeling
- Implementation:Getgauge Taiko Highlight
- Implementation:NVIDIA DALI EfficientNet Common Blocks
Heuristics
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
- Heuristic:FMInference FlexLLMGen Sequence Length Alignment
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:MarketSquare Robotframework browser GRPC Response Chunking
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Vllm project Vllm Attention Backend Selection
Environments
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:Obss Sahi Python Pycocotools
- Environment:Openai Openai python Realtime WebSocket
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Openai Openai python Voice Helpers