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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:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Triton inference server Server Custom Container Build
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Mlfoundations Open flamingo Data Preparation
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Teamcapybara Capybara Form Testing
- Workflow:Allenai Open instruct Reward Model Training
Principles
- Principle:Ggml org Llama cpp Multimodal Processing
- Principle:Ollama Ollama GGUF Model Conversion DeepSeekOcr
- Principle:Online ml River Time Series Stream Loading
- Principle:Onnx Onnx IO Map Definition
- Principle:Togethercomputer Together python LLM Evaluation
- Principle:Allenai Open instruct GRPO Loss
- Principle:Turboderp org Exllamav2 Model Configuration
- Principle:Haifengl Smile Nearest Neighbor Query
- Principle:Sktime Pytorch forecasting Estimator Conformance Testing
- Principle:Vespa engine Vespa Version Preparation
Implementations
- Implementation:Testtimescaling Testtimescaling github io Json Paper Registration
- Implementation:Kserve Kserve Initial InferenceService Deployment
- Implementation:Sgl project Sglang Flash MLA
- Implementation:Neuml Txtai Graph Query
- Implementation:Deepspeedai DeepSpeed CPU Accelerator
- Implementation:Vibrantlabsai Ragas ContextRecall
- Implementation:ARISE Initiative Robosuite PandaRobot
- Implementation:EvolvingLMMs Lab Lmms eval GEdit Bench Utils
- Implementation:LMCache LMCache API Registry
- Implementation:ThreeSR Awesome Inference Time Scaling Config Function
Heuristics
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Langchain ai Langgraph Deprecation Migration Guide
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
Environments
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:Dagster io Dagster GRPC Communication
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Intel Ipex llm NPU Environment
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Apache Druid Integration Test Docker