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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:Openai CLIP Prompt engineered classification
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:DevExpress Testcafe CLI Test Execution
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Langchain ai Langchain Release Process
Principles
- Principle:Zai org CogVideo SAT Dataset Preparation
- Principle:Iterative Dvc Local Remote State Comparison
- Principle:Datahub project Datahub Connection Validation
- Principle:Pytorch Serve Metrics Monitoring
- Principle:ClickHouse ClickHouse Hex Binary Encoding
- Principle:Protectai Llm guard Prompt Scanning
- Principle:Romsto Speculative Decoding Autoregressive Generation
- Principle:Hpcaitech ColossalAI Benchmark Metric Computation
- Principle:Openai Openai python Fine Tuning Job Creation
- Principle:LLMBook zh LLMBook zh github io Causal LM Loss Computation
Implementations
- Implementation:Datajuicer Data juicer TextTaggingByPromptMapper
- Implementation:ArroyoSystems Arroyo Impulse Operator
- Implementation:Langgenius Dify Env File Setup
- Implementation:Promptfoo Promptfoo loadApiProvider
- Implementation:Hpcaitech ColossalAI Math Competition Reward
- Implementation:Axolotl ai cloud Axolotl Load Cfg
- Implementation:CrewAIInc CrewAI Spider Tool
- Implementation:Apache Druid ControlPane ResourcePane
- Implementation:Alibaba MNN Diffusion HuggingFace Download
- Implementation:Testtimescaling Testtimescaling github io Json Dump Shields Badge
Heuristics
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:DevExpress Testcafe Window Resize Correction
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
Environments
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies