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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:Mlc ai Web llm Web Worker Deployment
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Apache Paimon Table Read Write
- Workflow:Datahub project Datahub Metadata Actions Pipeline
Principles
- Principle:LaurentMazare Tch rs ImageNet Preprocessing
- Principle:Deepspeedai DeepSpeed Mesh Device Configuration
- Principle:TobikoData Sqlmesh Environment Invalidation And Cleanup
- Principle:Webdriverio Webdriverio Test Framework Integration
- Principle:MaterializeInc Materialize Workload Replay
- Principle:Ray project Ray Distributed Task Submission
- Principle:Google deepmind Mujoco Model Compilation
- Principle:DistrictDataLabs Yellowbrick Classifier Visual Evaluation
- Principle:Infiniflow Ragflow Chunk Display
- Principle:Nautechsystems Nautilus trader PyO3 Stub Generation
Implementations
- Implementation:Cohere ai Cohere python ToolCallDelta Model
- Implementation:Langchain ai Langgraph Pregel Algo
- Implementation:Mit han lab Llm awq Awq config export
- Implementation:Confident ai Deepeval Constants Module
- Implementation:ArroyoSystems Arroyo Operator Context
- Implementation:Nightwatchjs Nightwatch Nightwatch CLI
- Implementation:FlagOpen FlagEmbedding Search Demo Preprocess
- Implementation:Apache Druid SchemaStep
- Implementation:Deepspeedai DeepSpeed XPU Packbits
- Implementation:Openai Openai python Response Output Text Param
Heuristics
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Langchain ai Langchain Warning Deprecated AnthropicLLM
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
Environments
- Environment:Ucbepic Docetl Frontend Node Environment
- Environment:Ollama Ollama Go Runtime
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:CrewAIInc CrewAI Optional Provider Dependencies