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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 |
Explore Pages
Workflows
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:FlowiseAI Flowise Agentflow V2 Creation
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Speechbrain Speechbrain Text to Speech Training
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:ClickHouse ClickHouse Contributing Pull Request
Principles
- Principle:MarketSquare Robotframework browser Release Preparation
- Principle:Fastai Fastbook Embedding Analysis
- Principle:Ggml org Ggml Backend Interface
- Principle:Protectai Llm guard Factual Consistency Checking
- Principle:Vllm project Vllm API Server Deployment
- Principle:Langchain ai Langchain Tool Execution
- Principle:MaterializeInc Materialize Change Detection and Test Trimming
- Principle:Apache Beam Worker Initialization
- Principle:Neuml Txtai Training Configuration
- Principle:Pyro ppl Pyro Advanced Optimizers
Implementations
- Implementation:Googleapis Python genai Files Upload
- Implementation:CARLA simulator Carla MultiGPU Primary
- Implementation:InternLM Lmdeploy GemmUniversalSm90V3
- Implementation:InternLM Lmdeploy TurbomindEngineConfig
- Implementation:DistrictDataLabs Yellowbrick ScatterVisualizer
- Implementation:Mlc ai Mlc llm Orion Model
- Implementation:Deepspeedai DeepSpeed Initialize Mesh Device
- Implementation:Explodinggradients Ragas Llm Factory
- Implementation:Ggml org Ggml Cann acl tensor
- Implementation:Treeverse LakeFS PrepareGarbageCollectionCommits
Heuristics
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:Bitsandbytes foundation Bitsandbytes Compressed Statistics Double Quantization
- Heuristic:OWASP Www project top 10 for large language model applications Vulnerability Entry Structure Guide
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
Environments
- Environment:Lucidrains X transformers Python Environment
- Environment:Onnx Onnx Python Runtime Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Vllm project Vllm Intel XPU
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:BerriAI Litellm Docker Deployment
- Environment:Kserve Kserve Python Runtime
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:BerriAI Litellm Provider API Credentials