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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:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:Onnx Onnx Model Creation
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:Princeton nlp Tree of thought llm Baseline comparison
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
Principles
- Principle:Nautechsystems Nautilus trader Hybrid Rust Cython Build
- Principle:Risingwavelabs Risingwave Java Rust JNI Bridge
- Principle:Volcengine Verl FSDP Distributed Training
- Principle:Langgenius Dify NavigationPatterns
- Principle:Alibaba ROLL Knowledge Distillation Configuration
- Principle:Langfuse Langfuse Export Completion Notification
- Principle:Tencent Ncnn Vulkan GPU Inference
- Principle:Openai Evals Eval Progress Tracking
- Principle:Openclaw Openclaw Credential Acquisition
- Principle:Vllm project Vllm Sampling Configuration
Implementations
- Implementation:Anthropics Anthropic sdk python Messages Stream
- Implementation:Microsoft Autogen MagenticOneGroupChat
- Implementation:Eventual Inc Daft DataFrame To Pandas
- Implementation:Treeverse LakeFS Java SDK StagingApi
- Implementation:Obss Sahi Visualize Object Predictions
- Implementation:Alibaba ROLL RolloutScheduler Get Batch
- Implementation:Google deepmind Dm control Build Front Legs
- Implementation:DevExpress Testcafe RequestHook
- Implementation:EvolvingLMMs Lab Lmms eval Baseline Loader
- Implementation:Risingwavelabs Risingwave VnodeHelper
Heuristics
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:Alibaba MNN NC4HW4 Data Layout
Environments
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Openai Whisper Numba
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Sgl project Sglang OpenAI
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Apache Spark JDK Build Environment