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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:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Haotian liu LLaVA Web Demo Deployment
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Snorkel team Snorkel Slice Aware Training
- Workflow:Truera Trulens RAG With Guardrails
Principles
- Principle:Trailofbits Fickling ML Allowlist Unpickling
- Principle:Truera Trulens Feedback Provider Configuration
- Principle:Ggml org Ggml Backend Interface
- Principle:Norrrrrrr lyn WAInjectBench JSONL Text Dataset Format
- Principle:Ollama Ollama Model Quantization
- Principle:Kubeflow Pipelines Training Data Preparation
- Principle:Mlflow Mlflow Model Logging
- Principle:Nautechsystems Nautilus trader Backtest Data Injection
- Principle:Deepset ai Haystack File Type Routing
- Principle:Ggml org Llama cpp Chat Completions
Implementations
- Implementation:Mage ai Mage ai Twitter Ads Schema
- Implementation:Rapidsai Cuml Manifold Common
- Implementation:Elevenlabs Elevenlabs python ChapterResponse
- Implementation:Mage ai Mage ai Package Setup
- Implementation:Vllm project Vllm Broadcast Load Epilogue C3X
- Implementation:Open compass VLMEvalKit OmniDocBench Data Preprocess
- Implementation:InternLM Lmdeploy Impl 1688
- Implementation:Onnx Onnx DataTypeUtils Class
- Implementation:Microsoft Playwright WkProvisionalPage
- Implementation:Langfuse Langfuse ChatML Types
Heuristics
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Google deepmind Dm control Prop Settling Physics Tuning
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:LaurentMazare Tch rs Device Fallback Pattern
- Heuristic:Protectai Llm guard Lazy Scanner Loading
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
Environments
- Environment:Iterative Dvc Git SCM Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Openai Evals Python Runtime
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Protectai Modelscan Python Core Runtime