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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:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
Principles
- Principle:Mlc ai Mlc llm Concurrent Request Handling
- Principle:Trailofbits Fickling Benchmark Dataset Construction
- Principle:Huggingface Diffusers Quantized Model Loading
- Principle:Gretelai Gretel synthetics WGAN GP Training
- Principle:Apache Hudi Result Delivery
- Principle:Fede1024 Rust rdkafka Client Statistics Monitoring
- Principle:Mlfoundations Open flamingo Benchmark Dataset Loading
- Principle:Google deepmind Mujoco Model Initialization
- Principle:Protectai Llm guard URL Reachability Validation
- Principle:Alibaba ROLL Distributed Worker Cluster Management
Implementations
- Implementation:Microsoft Autogen TaskResult Console
- Implementation:Protectai Llm guard Scan prompt
- Implementation:Guardrails ai Guardrails Merge
- Implementation:CrewAIInc CrewAI Tool Collection
- Implementation:Treeverse LakeFS Java SDK Model GarbageCollectionPrepareResponse
- Implementation:NVIDIA TransformerEngine Ops RMSNorm
- Implementation:EvolvingLMMs Lab Lmms eval Evaluate Endpoint
- Implementation:Pyro ppl Pyro CEVAE Synthetic
- Implementation:Lance format Lance Java BasePath
- Implementation:Online ml River Datasets TrumpApproval
Heuristics
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:ChenghaoMou Text dedup Suffix Array Merge Strategy
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
- Heuristic:Unstructured IO Unstructured PDF Element Sorting
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
Environments
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Microsoft Playwright Browser Binaries Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment