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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 |
Explore Pages
Workflows
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:Apache Paimon Table Read Write
- Workflow:HKUDS AI Trader Data Pipeline
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:Cypress io Cypress Binary Build and Release
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Huggingface Diffusers Text to Image Inference
Principles
- Principle:Sktime Pytorch forecasting Samformer Architecture
- Principle:Confident ai Deepeval Framework Instrumentation
- Principle:Neuml Txtai Dimensionality Reduction
- Principle:TobikoData Sqlmesh CICD Bot Configuration
- Principle:Datajuicer Data juicer QA Calibration
- Principle:Ucbepic Docetl Peripheral Context Gathering
- Principle:Ggml org Llama cpp CI Testing
- Principle:Danijar Dreamerv3 Distributed Logger Aggregation
- Principle:Mbzuai oryx Awesome LLM Post training Paper Corpus Review
- Principle:Haosulab ManiSkill RL Evaluation Checkpointing
Implementations
- Implementation:Dotnet Machinelearning LdaDocumentSampler
- Implementation:Protectai Llm guard Output Sentiment
- Implementation:Neuml Txtai Labels
- Implementation:Microsoft Playwright ChannelOwner
- Implementation:Kubeflow Kubeflow Release Handbook Process
- Implementation:FlowiseAI Flowise PublicExecutionDetails
- Implementation:Langchain ai Langchain BaseChatOpenAI With Structured Output
- Implementation:AUTOMATIC1111 Stable diffusion webui StableDiffusionProcessingTxt2Img
- Implementation:EvolvingLMMs Lab Lmms eval aime utils
- Implementation:Run llama Llama index GuidelineEvaluator
Heuristics
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:Apache Flink Bin Packing Complexity Guard
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Open compass VLMEvalKit Video Frame Sampling Configuration
Environments
- Environment:Apache Paimon Cloud Storage Credentials
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Mistralai Client python Python SDK Environment
- Environment:Protectai Modelscan H5py Optional
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Helicone Helicone Cloudflare Workers Runtime