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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:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:DevExpress Testcafe CI Integration
- Workflow:OWASP Www project top 10 for large language model applications GenAI Red Team Testing
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
Principles
- Principle:Recommenders team Recommenders ALS Recommendation Generation
- Principle:Kserve Kserve TrainedModel Registration
- Principle:Unslothai Unsloth Model Registry
- Principle:Facebookresearch Habitat lab HRL Configuration Composition
- Principle:Online ml River Online One Class SVM
- Principle:Online ml River Incremental Clustering Interface
- Principle:Guardrails ai Guardrails Observability
- Principle:Fede1024 Rust rdkafka Message Inspection
- Principle:Haotian liu LLaVA Benchmark Metric Computation
- Principle:Google deepmind Dm control Locomotion Task Definition
Implementations
- Implementation:Microsoft BIPIA FewShotChatGPT35Defense Process Fn
- Implementation:Duckdb Duckdb Generate C Api
- Implementation:Online ml River Metrics MCC
- Implementation:Vespa engine Vespa Feed Client API ABI Spec
- Implementation:Ollama Ollama Quantize
- Implementation:Nautechsystems Nautilus trader Supply Chain Security Config
- Implementation:Run llama Llama index AgentOutput Processing
- Implementation:Online ml River Tree Splitter NominalClassif
- Implementation:Mlflow Mlflow Pyproject Configuration
- Implementation:Mistralai Client python EventStream Context
Heuristics
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:Nautechsystems Nautilus trader Strategy On Start Initialization
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Openai Evals Chat Format Recommendation
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
Environments
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Sgl project Sglang Multimodal
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:FlowiseAI Flowise Queue Mode Environment
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:HKUDS AI Trader API Credentials
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Heibaiying BigData Notes Flink 1 9 Environment