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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:Bigscience workshop Petals Distributed Text Generation
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Deepseek ai Janus Autoregressive Image Generation
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Kornia Kornia Image Feature Matching
Principles
- Principle:Promptfoo Promptfoo Vulnerability Grading
- Principle:Lance format Lance Tokenizer Configuration
- Principle:FlowiseAI Flowise Vector Store Provider Configuration
- Principle:Nightwatchjs Nightwatch Element And Section Mapping
- Principle:Apache Paimon Target Table Preparation
- Principle:Bentoml BentoML Bento Building
- Principle:Mlflow Mlflow Metric Logging
- Principle:Facebookresearch Habitat lab HITL Environment Setup
- Principle:Explodinggradients Ragas Genetic Prompt Optimization
- Principle:ClickHouse ClickHouse Third Party Dependency Management
Implementations
- Implementation:Onnx Onnx Shape Inference Utils
- Implementation:FlowiseAI Flowise MarketplaceCanvasNode
- Implementation:Google deepmind Mujoco Platform GUI
- Implementation:Sktime Pytorch forecasting Generate Ar Data
- Implementation:Microsoft Onnxruntime CgManifest
- Implementation:Anthropics Anthropic sdk python ThinkingBlock Separation
- Implementation:AnswerDotAI RAGatouille Export To Vespa ONNX
- Implementation:Apache Dolphinscheduler DataSourceClientProvider Pooling
- Implementation:Vespa engine Vespa Linguistics ABI Spec
- Implementation:FlowiseAI Flowise InsertIntoVectorStore
Heuristics
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Huggingface Open r1 vLLM GPU Allocation
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Pytorch Serve LLM Timeout Configuration
- Heuristic:Alibaba ROLL Reward Clipping Normalization
- Heuristic:Diagram of thought Diagram of thought Strict Vs Flexible Critic Rigor
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
Environments
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Intel Ipex llm Windows Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:Treeverse LakeFS Web UI Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies