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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:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:DevExpress Testcafe Basic Test Authoring
- Workflow:PrefectHQ Prefect Database Cleanup With Approval
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Openai Evals Running an eval set
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
Principles
- Principle:Hpcaitech ColossalAI Document Loading
- Principle:Huggingface Datatrove Media Writing Framework
- Principle:Ollama Ollama Model Manifest Creation
- Principle:ClickHouse ClickHouse Program Component Compilation
- Principle:Pyro ppl Pyro SVI Training Loop
- Principle:Lm sys FastChat OpenAI Compatible API Serving
- Principle:FlowiseAI Flowise Application Configuration
- Principle:Eventual Inc Daft Table Writing
- Principle:Ggml org Llama cpp KVCacheManagement
- Principle:Alibaba ROLL Teacher Forward Inference
Implementations
- Implementation:Farama Foundation Gymnasium Play
- Implementation:Marker Inc Korea AutoRAG Dontknow Filter Rule Based
- Implementation:Microsoft Onnxruntime Generate Artifacts
- Implementation:Cohere ai Cohere python NonStreamedChatResponse Model
- Implementation:NVIDIA DALI Paddle ResNet Training
- Implementation:Ollama Ollama Convert Qwen3
- Implementation:Run llama Llama index LLMQuestionGenerator
- Implementation:Diagram of thought Diagram of thought Node Edge Status Regex Extraction
- Implementation:Zai org CogVideo CogVLM2 Predict
- Implementation:Helicone Helicone UseUpgradePlan
Heuristics
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
Environments
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Apache Paimon Cloud Storage Credentials
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Intel Ipex llm Build Environment
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Arize ai Phoenix OpenTelemetry SDK