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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:NVIDIA NeMo Curator Semantic Deduplication
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
Principles
- Principle:Cypress io Cypress Headless Test Execution
- Principle:Spotify Luigi Database Load Verification
- Principle:Webdriverio Webdriverio BrowserStack Session Management
- Principle:Langchain ai Langchain Response Parsing
- Principle:Togethercomputer Together python Fine Tuning Job Creation
- Principle:Bitsandbytes foundation Bitsandbytes LLM Int8 Linear Layer
- Principle:Teamcapybara Capybara Path Assertion
- Principle:Openai Openai python Fine Tuned Model Usage
- Principle:EvolvingLMMs Lab Lmms eval Data Tooling
- Principle:Googleapis Python genai Image Editing
Implementations
- Implementation:Microsoft Autogen MagenticOne Orchestrator
- Implementation:Zai org CogVideo SAT Inference Get Args
- Implementation:Ollama Ollama CreateHandler
- Implementation:Isaac sim IsaacGymEnvs Factory Control Algorithms
- Implementation:Spotify Luigi OpenerTarget
- Implementation:NVIDIA NeMo Curator Wikipedia Extractor
- Implementation:Teamcapybara Capybara Capybara Driver Configuration
- Implementation:Ollama Ollama Llama Model GLM4
- Implementation:Microsoft Playwright Client Errors
- Implementation:Alibaba MNN OpenCL CL Ext Intel Header
Heuristics
- Heuristic:Zai org CogVideo Decord Import Order Bug
- Heuristic:Ucbepic Docetl Token Counting And Truncation
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:Arize ai Phoenix Adaptive Rate Limiting
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
Environments
- Environment:Lance format Lance Python Environment
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Ollama Ollama CGo Runtime
- Environment:DevExpress Testcafe Node Runtime
- Environment:Apache Airflow Python Runtime Environment
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Sgl project Sglang Performance Dashboard