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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:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Openai CLIP Linear probe evaluation
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:PacktPublishing LLM Engineers Handbook Dataset Generation
Principles
- Principle:Romsto Speculative Decoding Speculative Decoding
- Principle:Datajuicer Data juicer Data Processing Execution
- Principle:Confident ai Deepeval Golden Generation from Documents
- Principle:Mlfoundations Open flamingo Visual Input Preprocessing
- Principle:Allenai Open instruct RLVR Data Loading
- Principle:Confident ai Deepeval Package Constants Management
- Principle:Iamhankai Forest of Thought Chain of Thought Reasoning
- Principle:Ggml org Ggml CPU Feature Detection
- Principle:LaurentMazare Tch rs Seq2Seq Dataset Loading
- Principle:SeldonIO Seldon core Experiment Configuration
Implementations
- Implementation:Volcengine Verl Split Placement PPO Entry
- Implementation:DataExpert io Data engineer handbook SQL Select Query Pattern
- Implementation:DevExpress Testcafe NativeAutomation RequestPipeline
- Implementation:Openclaw Openclaw PluginsConfig SkillsConfig Types
- Implementation:Haifengl Smile Chromosome
- Implementation:Lm sys FastChat Preprocess Conversation
- Implementation:Open compass VLMEvalKit POINTS
- Implementation:Mit han lab Llm awq InternVisionModel
- Implementation:ClickHouse ClickHouse Poco RemoteSyslogListener
- Implementation:Sktime Pytorch forecasting mLSTMNetwork
Heuristics
- Heuristic:ContextualAI HALOs Humanline Clamping
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Princeton nlp Tree of thought llm Value Caching
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
Environments
- Environment:Neuml Txtai Python Core Environment
- Environment:Openai Evals Python Runtime
- Environment:Allenai Open instruct Python 3 12 Runtime
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Snorkel team Snorkel PySpark
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:FlowiseAI Flowise Queue Mode Environment
- Environment:Openclaw Openclaw Gateway Network Ports