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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:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Huggingface Datatrove Synthetic Data Generation
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:Microsoft Onnxruntime On Device Training
Principles
- Principle:SeldonIO Seldon core Experiment Execution
- Principle:Getgauge Taiko Request Redirect
- Principle:Explodinggradients Ragas Tool Call F1 Evaluation
- Principle:Mbzuai oryx Awesome LLM Post training Keyword Data Loading
- Principle:PacktPublishing LLM Engineers Handbook Vector Storage
- Principle:FMInference FlexLLMGen Prediction Evaluation Metrics
- Principle:Openai Evals Chain of Thought Prompting
- Principle:Treeverse LakeFS Retention Rule Configuration
- Principle:Sgl project Sglang Visual Input Preparation
- Principle:Guardrails ai Guardrails Pydantic Schema Definition
Implementations
- Implementation:Apache Airflow Retag Docker Images
- Implementation:ArroyoSystems Arroyo Test Connection Table
- Implementation:Microsoft BIPIA FewShotChatGPT35Defense Construct Example
- Implementation:Pyro ppl Pyro SeedMessenger
- Implementation:Mit han lab Llm awq Awq config export
- Implementation:Gretelai Gretel synthetics DGAN Train Numpy
- Implementation:NVIDIA NeMo Curator Benchmark Runner
- Implementation:LMCache LMCache Bypass Lookup Client
- Implementation:CrewAIInc CrewAI Flow Decorators
- Implementation:ArroyoSystems Arroyo Filesystem Sink
Heuristics
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Ray project Ray Autoscaling Delay Tuning
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:Apache Druid Cluster Health Diagnostic Thresholds
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:Avdvg InjectGuard Module Level Initialization
Environments
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Ollama Ollama GPU Runtime
- Environment:Apache Kafka Docker Build Environment
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention