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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:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Run llama Llama index ReAct Agent
- Workflow:Lance format Lance Version Management
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
Principles
- Principle:Volcengine Verl VLM Actor Forward
- Principle:Kserve Kserve Storage Credentials
- Principle:Duckdb Duckdb JSON Processing
- Principle:Microsoft BIPIA Clean Response Collection
- Principle:Langgenius Dify Input Variable Definition
- Principle:Langgenius Dify Debug and Preview
- Principle:Duckdb Duckdb Benchmark Build Configuration
- Principle:Ggml org Llama cpp RPC Distributed Inference
- Principle:Intel Ipex llm ReLoRA Training
- Principle:Microsoft Semantic kernel Vector Store Collection Setup
Implementations
- Implementation:FlowiseAI Flowise OrgWorkspaceBreadcrumbs
- Implementation:Huggingface Peft HRAModel
- Implementation:Explodinggradients Ragas LiteLLMStructuredLLM Class
- Implementation:Lm sys FastChat Build Side By Side Arena Named UI
- Implementation:DataExpert io Data engineer handbook Log processing
- Implementation:Sktime Pytorch forecasting Embedding Cat Variables
- Implementation:Turboderp org Exllamav2 ThreadPool
- Implementation:Pyro ppl Pyro TraceGraph ELBO
- Implementation:Datajuicer Data juicer ImageAestheticsFilter
- Implementation:Duckdb Duckdb Interpreted Benchmark
Heuristics
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:ARISE Initiative Robosuite Hard Reset Vs Soft Reset
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Sgl project Sglang Memory Fraction Tuning
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:Huggingface Alignment handbook Liger Kernel Memory
Environments
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Vllm project Vllm AWS ECR
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:Allenai Open instruct Docker Container
- Environment:Apache Kafka Docker Build Environment
- Environment:Hiyouga LLaMA Factory Quantization Dependencies