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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:Tensorflow Serving Model Export And Serving
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:Online ml River Streaming Anomaly Detection
- Workflow:ContextualAI HALOs Offline SFT Alignment Pipeline
- Workflow:Princeton nlp SimPO Model Inference
- Workflow:Apache Shardingsphere Cluster Mode Initialization
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
Principles
- Principle:Huggingface Datasets Video Feature Handling
- Principle:Togethercomputer Together python Sandboxed Code Interpreter
- Principle:Google deepmind Mujoco Model Text Dump
- Principle:Togethercomputer Together python Image Response Processing
- Principle:FMInference FlexLLMGen Inference Kernel PyTorch Binding
- Principle:Alibaba ROLL Rollout Scheduling
- Principle:DevExpress Testcafe Screenshot And Video Capture
- Principle:Tensorflow Serving TFLite Serving
- Principle:FlowiseAI Flowise Document Loader Selection
- Principle:Interpretml Interpret Global Explanation Generation
Implementations
- Implementation:Teamcapybara Capybara XPathBuilder
- Implementation:Google deepmind Dm control Walker Info
- Implementation:Kornia Kornia MobileViT
- Implementation:Open compass VLMEvalKit VILA
- Implementation:Farama Foundation Gymnasium CartPoleEnv
- Implementation:Vespa engine Vespa Component ABI Spec
- Implementation:Wandb Weave Prompt Publish
- Implementation:Vllm project Vllm SGL MoE INT8
- Implementation:Sgl project Sglang Engine Shutdown
- Implementation:Explodinggradients Ragas LLMSQLEquivalence Metric
Heuristics
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
- Heuristic:Norrrrrrr lyn WAInjectBench Balanced Class Weights Imbalanced Data
- Heuristic:Roboflow Rf detr Resolution Divisibility Rule
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Apache Spark Partition Sizing Tips
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Wandb Weave Concurrency Deadlock Prevention
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
- Heuristic:Huggingface Diffusers LoRA Safe Fusing
Environments
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Allenai Open instruct Docker Container
- Environment:Intel Ipex llm RAG LangChain Environment
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Apache Kafka Docker Build Environment