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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:Cohere ai Cohere python Chat Completion
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Langfuse Langfuse Dataset experiment pipeline
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Lance format Lance Version Management
Principles
- Principle:NVIDIA TransformerEngine Activation Checkpointing
- Principle:Helicone Helicone Cache Abstraction
- Principle:NVIDIA NeMo Curator Scene Detection and Clipping
- Principle:LaurentMazare Tch rs Frozen Feature Computation
- Principle:Microsoft Autogen Handoff Termination
- Principle:Huggingface Transformers Distributed Gradient Synchronization
- Principle:Heibaiying BigData Notes Kafka Producer Configuration
- Principle:Romsto Speculative Decoding Encoder Decoder Autoregressive Generation
- Principle:DevExpress Testcafe Instance Lifecycle Management
- Principle:Run llama Llama index Evaluation Result Analysis
Implementations
- Implementation:Turboderp org Exllamav2 Sampling H
- Implementation:TobikoData Sqlmesh SelectEnvironment
- Implementation:Farama Foundation Gymnasium Vector Space Utils
- Implementation:Apache Spark Cluster Config Pattern
- Implementation:SeleniumHQ Selenium Closure SafeStyle
- Implementation:Iterative Dvc Pathspec Math
- Implementation:BerriAI Litellm Enterprise API Key Auth
- Implementation:NVIDIA NeMo Aligner Build SFT Dataset
- Implementation:PrefectHQ Prefect Parse Article Task
- Implementation:Avhz RustQuant GarmanKohlhagen83 Model
Heuristics
- Heuristic:Trailofbits Fickling Race Condition Prevention
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:Langgenius Dify Warning Deprecated Default Datasource Auth
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Norrrrrrr lyn WAInjectBench Balanced Class Weights Imbalanced Data
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
Environments
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Openai Openai python Realtime WebSocket
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:BerriAI Litellm PostgreSQL Database