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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 Openai node Fine Tuning
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Truera Trulens LangGraph Agent Evaluation
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:Bentoml BentoML Model Store Management
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
Principles
- Principle:NVIDIA NeMo Aligner RLHF Prompt Data Preparation
- Principle:Kserve Kserve Model Packaging
- Principle:Fastai Fastbook Fine Tuning
- Principle:Huggingface Datatrove Regex Filtering
- Principle:Mbzuai oryx Awesome LLM Post training Repository Publishing
- Principle:Predibase Lorax Chat Adapter Routing
- Principle:Huggingface Datatrove Tokenized Dataset Loading
- Principle:Farama Foundation Gymnasium Passive Environment Validation
- Principle:Run llama Llama index Training Data Validation
- Principle:Haifengl Smile Matrix Decomposition
Implementations
- Implementation:Online ml River Stream Iter Polars
- Implementation:Deepspeedai DeepSpeed MPS Accelerator
- Implementation:FlagOpen FlagEmbedding LLM Embedder Eval ICL
- Implementation:SeleniumHQ Selenium Keys
- Implementation:Microsoft Playwright ElementHandleDispatcher
- Implementation:Ray project Ray Azure Ray Template
- Implementation:Pyro ppl Pyro MultivariateStudentT
- Implementation:Lance format Lance Java RestAdapter
- Implementation:Openai Openai agents python RunContextWrapper
- Implementation:NVIDIA NeMo Curator XennaExecutor
Heuristics
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:LLMBook zh LLMBook zh github io Greedy Decoding Temperature Zero
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
- Heuristic:SeldonIO Seldon core Over Commit Memory Tip
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
Environments
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Deepspeedai DeepSpeed XPU Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Truera Trulens Python Core Environment
- Environment:Ollama Ollama Go Runtime
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Microsoft BIPIA OpenAI API Environment