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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:Protectai Llm guard LLM Input Output Scanning
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:TobikoData Sqlmesh Dbt project migration
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Protectai Llm guard Scanner Benchmarking
Principles
- Principle:Fede1024 Rust rdkafka Transactional Offset Commit
- Principle:Openai Whisper Segment Assembly
- Principle:Treeverse LakeFS Java SDK OpenAPI Specification
- Principle:Roboflow Rf detr Checkpoint Management
- Principle:Infiniflow Ragflow Chunk CRUD
- Principle:Infiniflow Ragflow Text Chunking
- Principle:Togethercomputer Together python Speech To Text
- Principle:Anthropics Anthropic sdk python Model Identifier Mapping
- Principle:Hiyouga LLaMA Factory Mixture of Experts
- Principle:Apache Hudi Write Result Verification
Implementations
- Implementation:PrefectHQ Prefect Prefect Yaml Schema
- Implementation:BerriAI Litellm Passthrough Utils
- Implementation:Ggml org Llama cpp RAII Pointers
- Implementation:Hpcaitech ColossalAI HybridAdam CosineScheduler
- Implementation:Microsoft Playwright Client Input
- Implementation:Run llama Llama index BaseQueryEngine
- Implementation:Heibaiying BigData Notes WordCountReducer Reduce
- Implementation:Haosulab ManiSkill XArm6NoGripper
- Implementation:Predibase Lorax Chat Completions Handler
- Implementation:Recommenders team Recommenders SUM Cells
Heuristics
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:Apache Kafka Container JMX RMI Port Tip
- Heuristic:MarketSquare Robotframework browser Windows Shell NPM Workaround
- Heuristic:FlagOpen FlagEmbedding Length Sorted Batching
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
Environments
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Sgl project Sglang Triton
- Environment:Triton inference server Server Docker Container Build
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:DevExpress Testcafe Docker Xvfb Container
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers