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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:Langfuse Langfuse Evaluation pipeline
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Openai Evals Running a single eval
- Workflow:Princeton nlp Tree of thought llm Baseline comparison
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Rapidsai Cuml Dimensionality Reduction
Principles
- Principle:Tensorflow Tfjs Recurrent Neural Networks
- Principle:Getgauge Taiko Input Clearing
- Principle:Facebookresearch Habitat lab Agent Implementation
- Principle:Treeverse LakeFS Import Tagging
- Principle:Infiniflow Ragflow LLM Configuration
- Principle:Avhz RustQuant Mathematical Sequences
- Principle:Infiniflow Ragflow LLM Provider Initialization
- Principle:Pola rs Polars Query Plan Inspection
- Principle:Pytorch Serve Multimodal Inference
- Principle:Langgenius Dify Processing Node Configuration
Implementations
- Implementation:Intel Ipex llm AutoModelForCausalLM From Pretrained QLoRA
- Implementation:Ggml org Llama cpp Llama Decode
- Implementation:Huggingface Datasets Generator Builder
- Implementation:Deepspeedai DeepSpeed LinearAllreduce Forward
- Implementation:NVIDIA NeMo Curator NSFWScorer
- Implementation:Farama Foundation Gymnasium Gymnasium Make
- Implementation:Microsoft DeepSpeedExamples Nvidia Bert Dataset Provider
- Implementation:Alibaba MNN Protobuf Wrappers PB H
- Implementation:Langfuse Langfuse CreateEvalQueue
- Implementation:InternLM Lmdeploy Gemm KernelImplSm90
Heuristics
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:SqueezeAILab ETS Lambda Similarity Scaling
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
Environments
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Openai Openai agents python MCP Dependencies
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Microsoft Playwright Browser Binaries Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime