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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:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Webdriverio Webdriverio Component Testing
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Tensorflow Serving Batched Inference Pipeline
Principles
- Principle:Heibaiying BigData Notes Spark Aggregation and Join
- Principle:FlowiseAI Flowise Assistant Configuration
- Principle:Online ml River Bandit Datasets
- Principle:Apache Shardingsphere Cluster Metadata Synchronization
- Principle:Webdriverio Webdriverio Parallel Execution
- Principle:OpenRLHF OpenRLHF SFT Dataset Construction
- Principle:Openclaw Openclaw Plugin Installation
- Principle:Cohere ai Cohere python Embed Response Processing
- Principle:Google deepmind Mujoco CPU Model Loading
- Principle:Pola rs Polars SQL Result Collection
Implementations
- Implementation:NVIDIA NeMo Aligner MegatronSDXL DRaFTP Model
- Implementation:FMInference FlexLLMGen DeepSpeed Quantization Utils
- Implementation:BerriAI Litellm Rerank API
- Implementation:NVIDIA TransformerEngine Replace Decoder Context Manager
- Implementation:Scikit learn contrib Imbalanced learn ADASYN
- Implementation:Tensorflow Tfjs CPU TopK Impl
- Implementation:Apache Druid Filter Pattern Helpers
- Implementation:Apache Beam Bundle
- Implementation:FlowiseAI Flowise MarketplaceCanvas
- Implementation:Norrrrrrr lyn WAInjectBench Validation TPR Selection
Heuristics
- Heuristic:Pytorch Serve LLM Timeout Configuration
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:Marker Inc Korea AutoRAG Passage Filter Safety Minimum
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Obss Sahi Class Agnostic vs Per Class NMS
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
Environments
- Environment:Openai Openai python Azure OpenAI
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Shiyu coder Kronos DDP Multi GPU Environment
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:Helicone Helicone Docker Compose Infrastructure