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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:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:HKUDS AI Trader End to End US Stock Trading
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Huggingface Datatrove Synthetic Data Generation
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Groq Groq python Batch Processing
Principles
- Principle:Sdv dev SDV Range Constraint
- Principle:MarketSquare Robotframework browser JavaScript Extension Integration
- Principle:NVIDIA NeMo Curator Bucket to Edge Conversion
- Principle:Huggingface Datatrove FineWeb Quality Heuristics
- Principle:Marker Inc Korea AutoRAG Strategy Based Module Selection
- Principle:Guardrails ai Guardrails StreamingValidation
- Principle:Apache Dolphinscheduler Physical Task Execution
- Principle:Langchain ai Langgraph Project Configuration
- Principle:Axolotl ai cloud Axolotl Vision Language Model Loading
- Principle:Ggml org Ggml WebGPU Computation
Implementations
- Implementation:Explodinggradients Ragas HaystackEmbeddingsWrapper Class
- Implementation:Neuml Txtai Hub Cloud
- Implementation:Vibrantlabsai Ragas Annotated Data Sample
- Implementation:Facebookresearch Habitat lab BaseILTrainer
- Implementation:Kserve Kserve Triton Runtime
- Implementation:Groq Groq python TranslationCreateParams
- Implementation:Mlflow Mlflow Docker Compose Deployment
- Implementation:ARISE Initiative Robosuite ConeObject
- Implementation:Googleapis Python genai ContentDelta Types
- Implementation:Predibase Lorax OPT Modeling
Heuristics
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Trailofbits Fickling Severity Threshold Selection
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
Environments
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Rapidsai Cuml Dask Distributed
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment