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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:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Predibase Lorax Server Deployment
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:Huggingface Diffusers DreamBooth Personalization
- Workflow:Lance format Lance Full Text Search
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
Principles
- Principle:Romsto Speculative Decoding Rejection Sampling Adjustment
- Principle:Microsoft Playwright Execute Automation Command
- Principle:Sdv dev SDV Fixed Combinations Constraint
- Principle:Intel Ipex llm DPO Data Preparation
- Principle:Langchain ai Langchain Provider API Invocation
- Principle:Huggingface Diffusers Training Dataset Preparation
- Principle:LaurentMazare Tch rs Darknet Model Building
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
- Principle:Eventual Inc Daft Documentation Notebook Generation
- Principle:Promptfoo Promptfoo CI Notification
Implementations
- Implementation:Getgauge Taiko ListItemWrapper
- Implementation:Apache Paimon BlockReader
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Visualizer
- Implementation:Microsoft Onnxruntime TrainingSession
- Implementation:Facebookresearch Habitat lab GuiDrawer
- Implementation:Neuml Txtai IVFSparse ANN
- Implementation:Pyro ppl Pyro RSA Hyperbole
- Implementation:Guardrails ai Guardrails Schema Parser
- Implementation:Run llama Llama index IndexStructType
- Implementation:DistrictDataLabs Yellowbrick MissingValuesBar
Heuristics
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:ThreeSR Awesome Inference Time Scaling Duplicate Detection By Title
- Heuristic:Microsoft DeepSpeedExamples RLHF Hyperparameter Guide
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
Environments
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Wandb Weave Trace Server Infrastructure
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Farama Foundation Gymnasium JAX Functional Backend