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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:ChenghaoMou Text dedup Benchmark Evaluation
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Iterative Dvc Plot Visualization
- Workflow:Langgenius Dify Docker Deployment
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Mage ai Mage ai Destination Data Loading
- Workflow:Allenai Open instruct Reward Model Training
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
Principles
- Principle:Openai Openai python Chat Completion Request
- Principle:Google deepmind Dm control Observable Configuration
- Principle:Scikit learn contrib Imbalanced learn Adaptive Synthetic Sampling
- Principle:OpenRLHF OpenRLHF Interactive Model Inference
- Principle:Vespa engine Vespa Subscription Registration
- Principle:Promptfoo Promptfoo Assertion Grading
- Principle:Hpcaitech ColossalAI Distributed Model Inference
- Principle:Protectai Llm guard URL Reachability Validation
- Principle:LaurentMazare Tch rs Precision Control
- Principle:Alibaba ROLL Megatron LoRA Adaptation
Implementations
- Implementation:TobikoData Sqlmesh EditorTab
- Implementation:Guardrails ai Guardrails BasePrompt
- Implementation:Tensorflow Serving Simple Servers
- Implementation:PrefectHQ Prefect Task Decorator
- Implementation:NVIDIA NeMo Aligner MegatronGPT KTO Model
- Implementation:Tencent Ncnn TF Types
- Implementation:Cohere ai Cohere python File Types
- Implementation:Recommenders team Recommenders Notebook Utils
- Implementation:Dagster io Dagster Definitions Decorator
- Implementation:Huggingface Diffusers Video Memory Setup
Heuristics
- Heuristic:SeleniumHQ Selenium Thread Safety With ThreadGuard
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
Environments
- Environment:Fastai Fastbook NLP SpaCy Environment
- Environment:Openai Openai agents python OpenAI API Credentials
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Vllm project Vllm Python Dependencies
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Spotify Luigi Python Runtime
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Bigscience workshop Petals Python Hivemind