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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:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:Online ml River Binary Classification Pipeline
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:MaterializeInc Materialize Release Process
- Workflow:Princeton nlp Tree of thought llm Adding new task
Principles
- Principle:Openai Evals Solver Output Postprocessing
- Principle:Treeverse LakeFS Imported Data Verification
- Principle:Spotify Luigi Spark Job Definition
- Principle:Teamcapybara Capybara Selection Controls
- Principle:Ggml org Llama cpp StreamingJSONParsing
- Principle:AUTOMATIC1111 Stable diffusion webui Weight merging execution
- Principle:MarketSquare Robotframework browser Release Preparation
- Principle:Neuml Txtai Agent Task Execution
- Principle:Huggingface Diffusers Training Configuration
- Principle:Protectai Llm guard Topic Filtering
Implementations
- Implementation:Openai Openai node Uploads Resource
- Implementation:Evidentlyai Evidently Legacy Base Renderer
- Implementation:Apache Shardingsphere ContextManagerBuilderParameter Constructor
- Implementation:Sgl project Sglang Scalar Type
- Implementation:Openai Openai python Shared Params Chat Model
- Implementation:Allenai Open instruct DPO Tune Cache Main
- Implementation:Avhz RustQuant StochasticProcess generate
- Implementation:TobikoData Sqlmesh Editor Extensions
- Implementation:Datahub project Datahub SparkDatasetExtractor
- Implementation:Ollama Ollama Llama Batch Types
Heuristics
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Heibaiying BigData Notes Hive ORC Parquet Storage Tip
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:CarperAI Trlx Batch Size Tuning
Environments
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Huggingface Datasets Image Dependencies
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Sgl project Sglang Kubernetes
- Environment:Cohere ai Cohere python Python SDK Runtime