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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 SAR Collaborative Filtering
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Tensorflow Tfjs Transfer Learning
- Workflow:Deepseek ai Janus Multimodal Understanding
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Groq Groq python Chat Completion
Principles
- Principle:Marker Inc Korea AutoRAG Deployment Mode Selection
- Principle:Promptfoo Promptfoo Plugin Selection
- Principle:Microsoft DeepSpeedExamples Multimodal Model Composition
- Principle:InternLM Lmdeploy SmoothQuant Quantization
- Principle:Onnx Onnx Graph Assembly
- Principle:Tensorflow Tfjs Model Evaluation
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
- Principle:HKUDS AI Trader Performance Visualization
- Principle:Pytorch Serve Inference Pipeline
- Principle:Google deepmind Mujoco Model Binary Export
Implementations
- Implementation:Kubeflow Pipelines GPU Resource Request Sample
- Implementation:Apache Beam PipelineMessageReceiver
- Implementation:Allenai Open instruct Ray Node Setup
- Implementation:Vllm project Vllm Benchmark Batch Invariance
- Implementation:Huggingface Datatrove C4QualityFilter
- Implementation:Mbzuai oryx Awesome LLM Post training Matplotlib Bar Chart
- Implementation:Lance format Lance Java SqlExpressions
- Implementation:Apache Spark Make Distribution
- Implementation:Triton inference server Server Container Health Check
- Implementation:Ucbepic Docetl UseDatasetUpload
Heuristics
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:Zai org CogVideo CPU Offload Strategy
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:Hpcaitech ColossalAI Flash Attention Dtype Restriction
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Zai org CogVideo LoRA Configuration Tips
Environments
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Kserve Kserve GPU Accelerator
- Environment:Datahub project Datahub Docker Runtime
- Environment:Lm sys FastChat API Keys And Credentials
- Environment:Interpretml Interpret Python Core Environment
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Vllm project Vllm CPU Runtime
- Environment:Haotian liu LLaVA Python CUDA Training Environment