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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:Unslothai Unsloth Vision Model Finetuning
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Langfuse Langfuse Dataset experiment pipeline
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Apache Paimon Blob Storage With Descriptors
Principles
- Principle:Run llama Llama index Index Persistence
- Principle:Iterative Dvc Experiment Pipeline Execution
- Principle:Iamhankai Forest of Thought Chain of Thought Reasoning
- Principle:Kubeflow Pipelines Cross Format Validation
- Principle:Apache Shardingsphere Configuration Parameter Construction
- Principle:Google research Deduplicate text datasets Dataset Serialization TFDS
- Principle:Microsoft Autogen Model Client Configuration
- Principle:Eventual Inc Daft SQL Expression Building
- Principle:OpenRLHF OpenRLHF Supervised Fine Tuning Training
- Principle:Mlflow Mlflow Docker Image Building
Implementations
- Implementation:Axolotl ai cloud Axolotl Dynamic Dependencies
- Implementation:Alibaba ROLL Trainer Utils
- Implementation:Mlflow Mlflow Load Prompt
- Implementation:Rapidsai Cuml Symreg Example
- Implementation:Huggingface Datatrove InferenceProgressMonitor
- Implementation:Treeverse LakeFS Java SDK Model PrepareGCUncommittedResponse
- Implementation:Ggml org Llama cpp Peg Parser
- Implementation:BerriAI Litellm Litellm Global Configuration
- Implementation:Sktime Pytorch forecasting RecurrentNetwork
- Implementation:Ucbepic Docetl Directive DocSummarization
Heuristics
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:Datahub project Datahub Warning Deprecated Spark Lineage Legacy
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Marker Inc Korea AutoRAG Deterministic Evaluation Generation
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Microsoft Playwright Timeout Configuration Tips
Environments
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Openai Openai python Voice Helpers