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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:Spotify Luigi Database Ingestion Pipeline
- Workflow:Neuml Txtai Agent Execution
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Wandb Weave SDK Release
- Workflow:Kserve Kserve Deploying InferenceService
Principles
- Principle:Huggingface Datasets PyTorch Formatting
- Principle:Huggingface Datatrove Token Counting
- Principle:Intel Ipex llm GaLore Gradient Projection
- Principle:Sdv dev SDV Local Data IO
- Principle:NVIDIA NeMo Curator MinHash Signature Computation
- Principle:Princeton nlp SimPO Model Saving and Evaluation
- Principle:Tensorflow Tfjs Layer API Surface
- Principle:Cypress io Cypress Component Mounting
- Principle:Mit han lab Llm awq Streaming Text Generation
- Principle:Tensorflow Tfjs BPE Tokenization
Implementations
- Implementation:Eventual Inc Daft DataFrame Explain
- Implementation:Iterative Dvc Database
- Implementation:Explodinggradients Ragas Faithfulness Metric
- Implementation:Ggml org Llama cpp Jinja Value Header
- Implementation:Speechbrain Speechbrain Prepare LibriSpeech Root
- Implementation:BerriAI Litellm Mock Client Factory
- Implementation:Dagster io Dagster PowerBI Workspace API
- Implementation:Bentoml BentoML Runner Utils
- Implementation:Microsoft LoRA Legacy Finetune Trainer Seq2Seq
- Implementation:Vespa engine Vespa Cpp Sh
Heuristics
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:CARLA simulator Carla Traffic Manager Sync Mode
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Microsoft BIPIA LLAMA Pad Token Workaround
Environments
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Openai Openai python Azure OpenAI
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:BerriAI Litellm Python Runtime
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Vllm project Vllm Benchmarks
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Langfuse Langfuse PostgreSQL 17