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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:Snorkel team Snorkel Data Augmentation
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:HKUDS AI Trader End to End US Stock Trading
- Workflow:Unstructured IO Unstructured Performance Profiling
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:Openai Evals Building a custom eval
Principles
- Principle:OpenRLHF OpenRLHF Rejection Sampling
- Principle:Ggml org Ggml Detection Post Processing
- Principle:Apache Druid Visualization Module Selection
- Principle:Ollama Ollama GGUF Model Conversion Qwen3Next
- Principle:Ggml org Llama cpp Template Capability Detection
- Principle:Googleapis Python genai Image Upscaling
- Principle:EvolvingLMMs Lab Lmms eval Parallel Inference
- Principle:ClickHouse ClickHouse BFloat16 Type
- Principle:Cleanlab Cleanlab Multilabel Label Quality Scoring
- Principle:Scikit learn contrib Imbalanced learn Benchmark Dataset Loading
Implementations
- Implementation:Iamhankai Forest of Thought Monte Carlo Tree
- Implementation:Deepspeedai DeepSpeed DeepSpeedEngine Checkpoint
- Implementation:Cohere ai Cohere python SingleGeneration Model
- Implementation:Heibaiying BigData Notes AppendRegionObserver PrePut
- Implementation:Allenai Open instruct Push Folder To Hub
- Implementation:Microsoft Playwright Utils Bundle Package Lock
- Implementation:Protectai Llm guard Toxicity
- Implementation:NVIDIA NeMo Curator DocumentModifier
- Implementation:Online ml River Docs Parse
- Implementation:Togethercomputer Together python Files Upload For Batch
Heuristics
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Kornia Kornia Morphology Engine Selection
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:Lucidrains X transformers Gradient Clipping And Accumulation
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Dagster io Dagster Record Over Dataclass
Environments
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Sgl project Sglang Kubernetes
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Unstructured IO Unstructured GitHub Actions