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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:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Onnx Onnx Model Validation
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Huggingface Transformers Model Quantization
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Ucbepic Docetl YAML Pipeline Execution
Principles
- Principle:Microsoft LoRA NLG Dataset Preparation
- Principle:Kserve Kserve Model Explainability
- Principle:Apache Kafka JIRA Issue Resolution
- Principle:Microsoft Agent framework Workflow Result Processing
- Principle:Deepspeedai DeepSpeed Inference Execution
- Principle:Deepseek ai Janus Response Decoding
- Principle:Interpretml Interpret Interaction Detection
- Principle:PacktPublishing LLM Engineers Handbook Model Registry Validation
- Principle:Nightwatchjs Nightwatch Component Plugin Installation
- Principle:Eventual Inc Daft Pandas Export
Implementations
- Implementation:Princeton nlp Tree of thought llm Gpt Usage
- Implementation:Rapidsai Cuml SVR API
- Implementation:Liu00222 Open Prompt Injection DataSentinelDetector preprocessing
- Implementation:ChenghaoMou Text dedup SA Run Command
- Implementation:Tensorflow Tfjs GPT2CausalLM Generate
- Implementation:Mlc ai Mlc llm Tensor Parallel
- Implementation:Promptfoo Promptfoo Root Package Lock
- Implementation:Microsoft DeepSpeedExamples BingBert Timer
- Implementation:CarperAI Trlx Random Walk Environment
- Implementation:Ggml org Ggml Mnist model init random
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Open compass VLMEvalKit API Retry With Random Delay
- Heuristic:OWASP Www project top 10 for large language model applications Vulnerability Entry Structure Guide
- Heuristic:Spotify Luigi PySpark Task Serialization
- Heuristic:NVIDIA DALI Batch Size Tuning
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:ArroyoSystems Arroyo Checkpoint Interval Tuning
Environments
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:CarperAI Trlx NeMo Megatron
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Vllm project Vllm Intel XPU