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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:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:Huggingface Diffusers Video Generation
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
- Workflow:Helicone Helicone LLM Request Proxy Logging
- Workflow:Deepseek ai Janus Multimodal Understanding
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Online ml River Online Clustering
- Workflow:LLMBook zh LLMBook zh github io Inference and Quantization
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Openclaw Openclaw Channel Connection
Principles
- Principle:MaterializeInc Materialize Test Result Aggregation
- Principle:Gretelai Gretel synthetics Training Configuration
- Principle:Anthropics Anthropic sdk python Response Processing
- Principle:Snorkel team Snorkel Augmentation Policy Configuration
- Principle:Cypress io Cypress Code Signing
- Principle:Marker Inc Korea AutoRAG YAML Configuration Authoring
- Principle:Testtimescaling Testtimescaling github io Paper Relevance Assessment
- Principle:Huggingface Datasets JSON Dataset Building
- Principle:Speechbrain Speechbrain Speaker Embedding Precomputation
- Principle:Infiniflow Ragflow Retrieval Configuration
Implementations
- Implementation:Arize ai Phoenix Legacy Evaluators
- Implementation:Scikit learn Scikit learn FetchOlivettiFaces
- Implementation:Mbzuai oryx Awesome LLM Post training Fetch Paper Details
- Implementation:Explodinggradients Ragas BasePrompt Class
- Implementation:Openai Openai python Response Cancelled Webhook
- Implementation:Microsoft Playwright TraceV4
- Implementation:Ollama Ollama Llama Arch
- Implementation:Bentoml BentoML Deployment Update Get List
- Implementation:Avhz RustQuant Black76 Model
- Implementation:Cohere ai Cohere python ApiMetaBilledUnits Model
Heuristics
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Sdv dev SDV CTGAN Column Performance
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Diagram of thought Diagram of thought Strict Vs Flexible Critic Rigor
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Avdvg InjectGuard Embedding Normalization Cosine Equivalence
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
Environments
- Environment:Sgl project Sglang Runtime
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Spotify Luigi Apache Spark
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment