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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:Turboderp org Exllamav2 LoRA Adapter Inference
- Workflow:Langgenius Dify Knowledge Base Creation
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:Run llama Llama index ReAct Agent
Principles
- Principle:Confident ai Deepeval LLM Span Enrichment
- Principle:Apache Flink File Source Object Pooling and Record Wrapping
- Principle:Lakeraai Pint benchmark Prompt Injection Detection
- Principle:PacktPublishing LLM Engineers Handbook Supervised Finetuning
- Principle:Vllm project Vllm Sampling Configuration
- Principle:EvolvingLMMs Lab Lmms eval Client Integration
- Principle:Trailofbits Fickling Pickle Payload Injection
- Principle:Facebookresearch Habitat lab HITL Application Configuration
- Principle:Allenai Open instruct GRPO Policy Update
- Principle:Apache Flink Object Reuse
Implementations
- Implementation:Vllm project Vllm Spec Decode Method Config
- Implementation:Interpretml Interpret CI Workflow
- Implementation:Nautechsystems Nautilus trader BacktestEngine Run
- Implementation:Arize ai Phoenix Run Experiment
- Implementation:Ggml org Ggml Metal common
- Implementation:Pyro ppl Pyro AdagradRMSProp
- Implementation:Bentoml BentoML Exportable Base
- Implementation:Apache Druid ConnectExternalDataDialog
- Implementation:Bentoml BentoML Service Loader
- Implementation:Lance format Lance Java Branch
Heuristics
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Tencent Ncnn Thread Count Tuning
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
Environments
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Apache Airflow Docker Container Environment