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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:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Huggingface Datatrove Dataset Tokenization
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Mlc ai Mlc llm Model Compilation
- Workflow:Ray project Ray Serve Deployment
Principles
- Principle:Intel Ipex llm Pipeline Parallel Init
- Principle:Cypress io Cypress CI Parallelization
- Principle:Protectai Llm guard Toxicity Detection
- Principle:Danijar Dreamerv3 Distributed Learner Training
- Principle:Alibaba MNN Source Model Preparation
- Principle:Nautechsystems Nautilus trader Strategy Configuration
- Principle:LaurentMazare Tch rs PyO3 Tensor Bridge
- Principle:Norrrrrrr lyn WAInjectBench Training Data Loading
- Principle:Ggml org Llama cpp RPC Distributed Inference
- Principle:Spcl Graph of thoughts Keyword Counting Response Parsing
Implementations
- Implementation:Hiyouga LLaMA Factory Data Formatter
- Implementation:Mlflow Mlflow Dev Environment Setup
- Implementation:Vibrantlabsai Ragas NoiseSensitivityV2
- Implementation:Triton inference server Server Convert Checkpoint
- Implementation:FlagOpen FlagEmbedding Reinforced IR GPTAgent
- Implementation:ArroyoSystems Arroyo Stdout Connector
- Implementation:Microsoft Playwright CssTokenizer
- Implementation:SeleniumHQ Selenium Closure Bidi
- Implementation:Apache Druid SqlInput
- Implementation:InternLM Lmdeploy Module
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Microsoft Agent framework Function Invocation Defaults
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Nightwatchjs Nightwatch ESM Module Loading Tips
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:CarperAI Trlx Partial Layer Freezing
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Openai CLIP FP16 FP32 Dtype Handling
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
Environments
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Vllm project Vllm AWS ECR
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Getgauge Taiko Chromium Browser