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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:Onnx Onnx Model Creation
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
Principles
- Principle:Huggingface Alignment handbook Model Loading
- Principle:DevExpress Testcafe Assertion Retry Logic
- Principle:Datahub project Datahub Entity Metadata Enrichment
- Principle:Microsoft Playwright Inject Browser API Mocks
- Principle:Online ml River ADWIN Drift Detection
- Principle:Ollama Ollama LlamaCpp CGo Bridge
- Principle:Apache Spark Container Image Build
- Principle:Rapidsai Cuml Incremental Learning
- Principle:Googleapis Python genai Cache Management
- Principle:Datahub project Datahub CLI Installation For Docker
Implementations
- Implementation:NVIDIA TransformerEngine Fused Attn Dispatch
- Implementation:Allenai Open instruct Compute GRPO Loss
- Implementation:Mit han lab Llm awq W8A8OF16LinearDynamicInputScale
- Implementation:PacktPublishing LLM Engineers Handbook Reranker Generate
- Implementation:Openai Openai agents python Codex Same Thread Pattern
- Implementation:Zai org CogVideo Inference Load Lora Weights
- Implementation:Infiniflow Ragflow Admin UserDetail Page
- Implementation:Tencent Ncnn Benchmark Timer
- Implementation:Kubeflow Kubeflow Git Tag Container Push
- Implementation:Webdriverio Webdriverio FetchMock
Heuristics
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Deepseek ai Janus Image Generation Prompt Tips
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
Environments
- Environment:Microsoft Playwright Browser Binaries Environment
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:AUTOMATIC1111 Stable diffusion webui Xformers Attention
- Environment:Allenai Open instruct vLLM Inference
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Turboderp org Exllamav2 Build Toolchain