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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:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Bigscience workshop Petals Server Contribution
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
Principles
- Principle:Mlc ai Web llm Chrome Extension Manifest
- Principle:TA Lib Ta lib python C Library Installation
- Principle:Langgenius Dify Frontend Architecture
- Principle:Eric mitchell Direct preference optimization Model Loading
- Principle:Kornia Kornia Image Loading
- Principle:Online ml River Factorization Machines
- Principle:Huggingface Peft Cosine Similarity Contrastive Training
- Principle:Protectai Llm guard Regex Pattern Matching
- Principle:AUTOMATIC1111 Stable diffusion webui Embedding serialization
- Principle:Google deepmind Dm control MJCF Model Attachment
Implementations
- Implementation:Online ml River Base Classifier
- Implementation:Ollama Ollama KVCache Wrapper
- Implementation:Cleanlab Cleanlab OD Visualize
- Implementation:NVIDIA DALI Sphinx Config
- Implementation:PrefectHQ Prefect PrefectAgent Wrapper
- Implementation:Farama Foundation Gymnasium Wrappers Init
- Implementation:Teamcapybara Capybara Capybara Add Selector
- Implementation:Interpretml Interpret UNTESTED From Jsonable
- Implementation:Ucbepic Docetl Dataset Medical Transcripts
- Implementation:OpenHands OpenHands SaasNestedConversationManager Create Nested Conversation
Heuristics
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Huggingface Optimum Dummy Input Shape Defaults
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
Environments
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA