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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:Apache Kafka Docker Image Release
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Helicone Helicone Local Development Setup
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Iamhankai Forest of Thought Game24 Forest Solving
- Workflow:Puppeteer Puppeteer Cross Browser Automation
- Workflow:Farama Foundation Gymnasium RL Agent Training Loop
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
Principles
- Principle:Datahub project Datahub Emitter Lifecycle
- Principle:Mage ai Mage ai Paginated SQL Extraction
- Principle:Anthropics Anthropic sdk python Content Block Separation
- Principle:Openai Openai python Realtime Conversation Management
- Principle:Volcengine Verl Tool Configuration
- Principle:Apache Hudi Flink Environment Configuration
- Principle:Huggingface Optimum Backend Pipeline Dispatch
- Principle:Apache Beam Job Preparation
- Principle:CarperAI Trlx Synthetic Environment Design
- Principle:Spcl Graph of thoughts Best N Selection
Implementations
- Implementation:Online ml River Cluster DenStream
- Implementation:Openai Whisper EnglishTextNormalizer
- Implementation:ArroyoSystems Arroyo Avro Deserializer
- Implementation:Isaac sim IsaacGymEnvs RetargetMotion
- Implementation:Cohere ai Cohere python HttpResponse
- Implementation:Hiyouga LLaMA Factory API Protocol
- Implementation:Predibase Lorax Flash Gemma2 Modeling
- Implementation:AUTOMATIC1111 Stable diffusion webui Train embedding
- Implementation:Datahub project Datahub AvroSchemaConverter
- Implementation:Axolotl ai cloud Axolotl Dynamic Dependencies
Heuristics
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:Diagram of thought Diagram of thought Strict Vs Flexible Critic Rigor
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Sdv dev SDV CTGAN Column Performance
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
Environments
- Environment:Rapidsai Cuml CUDA GPU
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Huggingface Datasets Image Dependencies
- Environment:Tensorflow Tfjs Python Converter
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Deepset ai Haystack OpenAI API Environment