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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:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
- Workflow:TA Lib Ta lib python Basic Indicator Computation
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Interpretml Interpret Blackbox Model Explanation
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Google deepmind Mujoco Model compilation and conversion
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
Principles
- Principle:Microsoft Autogen Model Client Configuration
- Principle:Triton inference server Server Container Distribution
- Principle:Neuml Txtai RAG Index Building
- Principle:Haosulab ManiSkill Registration Pattern
- Principle:Bentoml BentoML Cloud Deployment Creation
- Principle:Webdriverio Webdriverio BrowserStack Extension Management
- Principle:Bigscience workshop Petals Distributed Autograd
- Principle:Wandb Weave Prompt Publishing
- Principle:Anthropics Anthropic sdk python Thinking Request Execution
- Principle:Sdv dev SDV Constraint Validation
Implementations
- Implementation:Openai Openai python Embedding Create Params
- Implementation:Google deepmind Mujoco mjv makeScene
- Implementation:Liu00222 Open Prompt Injection causal influence
- Implementation:Microsoft DeepSpeedExamples VisProjection
- Implementation:NVIDIA NeMo Curator QuotationRemover
- Implementation:Datajuicer Data juicer RayExecutor Run
- Implementation:Open compass VLMEvalKit MLVU Utils
- Implementation:Helicone Helicone ExportDashboardData
- Implementation:Webdriverio Webdriverio Bidi NodeConnection
- Implementation:LaurentMazare Tch rs Torch Api Cpp
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:PacktPublishing LLM Engineers Handbook Temperature Selection By Task
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Allenai Open instruct Polyak Reference Update
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
Environments
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:Getgauge Taiko Linux System Libraries