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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:Lance format Lance Version Management
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:Mit han lab Llm awq HuggingFace Model Export
Principles
- Principle:Langchain ai Langchain Public API Surface
- Principle:Microsoft Onnxruntime Model Conversion to ONNX
- Principle:Google research Deduplicate text datasets Dataset Serialization TFDS
- Principle:Groq Groq python Streaming Request Execution
- Principle:Explodinggradients Ragas Test Query Synthesis
- Principle:ArroyoSystems Arroyo SQL Table Integration
- Principle:Mlfoundations Open flamingo Dual Dataset Training Loop
- Principle:ARISE Initiative Robosuite USD Scene Export
- Principle:Nightwatchjs Nightwatch Extension Usage In Tests
- Principle:Axolotl ai cloud Axolotl SFT Training Execution
Implementations
- Implementation:Huggingface Peft Update And Allocate
- Implementation:SeleniumHQ Selenium WebElement Interaction API
- Implementation:Arize ai Phoenix Prompts Get
- Implementation:Apache Druid InfoMessages
- Implementation:FlagOpen FlagEmbedding LLM Embedder Retrieval Metrics
- Implementation:Truera Trulens Record Viewer Utils
- Implementation:Speechbrain Speechbrain Prepare ESC50
- Implementation:Fede1024 Rust rdkafka BaseProducer Transactional Config
- Implementation:Bitsandbytes foundation Bitsandbytes Quantize Global
- Implementation:CARLA simulator Carla DebugHelper Class
Heuristics
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Huggingface Optimum Version Conditional Behavior
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Langchain ai Langchain Warning Deprecated AnthropicLLM
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:Wandb Weave Retry And Error Handling
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
Environments
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Huggingface Datasets Image Dependencies
- Environment:Volcengine Verl Python Core Dependencies
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Duckdb Duckdb Extension Distribution Env
- Environment:Pola rs Polars Rust Build Environment
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Apache Paimon Python Core Runtime
- Environment:Datahub project Datahub Docker Runtime