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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:Apache Kafka Docker Image Release
- Workflow:Apache Druid SQL Query Execution
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:Lm sys FastChat LoRA QLoRA Finetuning
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:Treeverse LakeFS S3 Gateway Integration
Principles
- Principle:Openai Evals LangChain Integration
- Principle:Confident ai Deepeval LLM Evaluation Metrics
- Principle:Alibaba ROLL SFT Configuration
- Principle:Apache Kafka Cherry Pick Backport
- Principle:LLMBook zh LLMBook zh github io ALiBi Position Encoding
- Principle:Cleanlab Cleanlab Object Detection Visualization
- Principle:Pyro ppl Pyro Data Provenance
- Principle:Huggingface Datatrove Language Statistics
- Principle:OWASP Www project top 10 for large language model applications Threat Modeling Against Top 10
- Principle:OpenRLHF OpenRLHF Causal LM Actor Loading
Implementations
- Implementation:Ggml org Ggml Cpu loongarch quants
- Implementation:Onnx Onnx Graph Node List
- Implementation:Kornia Kornia In Range
- Implementation:Facebookresearch Habitat lab Evaluator
- Implementation:Google deepmind Mujoco MJX Collision Driver
- Implementation:Ucbepic Docetl Directive Chaining
- Implementation:Spotify Luigi RemoteScheduler Worker
- Implementation:DevExpress Testcafe TestedApp Start Kill
- Implementation:LMCache LMCache TTL List Cache
- Implementation:Guardrails ai Guardrails Guard Call Structured
Heuristics
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:Lance format Lance Encoding Compression Thresholds
- Heuristic:Microsoft BIPIA LLAMA Pad Token Workaround
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Ggml org Llama cpp Thread Count Tuning
Environments
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Sgl project Sglang Web
- Environment:Apache Paimon Optional Extensions
- Environment:Openai Openai python Voice Helpers
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment