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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:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Translation
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:DataTalksClub Data engineering zoomcamp dbt Analytics Transformation
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Vibrantlabsai Ragas Testset Generation
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
Principles
- Principle:Lucidrains X transformers Autoregressive Text Generation
- Principle:Princeton nlp Tree of thought llm Naive Baseline Sampling
- Principle:Webdriverio Webdriverio Service Worker Pattern
- Principle:Microsoft Playwright Define Agent Actions with Perform
- Principle:Ggml org Llama cpp CI Testing
- Principle:ChenghaoMou Text dedup False Positive Verification MinHash
- Principle:LLMBook zh LLMBook zh github io Mixture of Experts Routing
- Principle:Huggingface Datasets Label Classification
- Principle:BerriAI Litellm Proxy Configuration
- Principle:Apache Spark SQL Documentation Generation
Implementations
- Implementation:Ucbepic Docetl Directive ReduceGleaning
- Implementation:Open compass VLMEvalKit Video Holmes
- Implementation:Scikit learn Scikit learn OptimizeUtils
- Implementation:Kornia Kornia Median Filter
- Implementation:Langchain ai Langgraph Pregel Algo
- Implementation:Deepspeedai DeepSpeed Tp Model Init
- Implementation:ArroyoSystems Arroyo Join Planner
- Implementation:Ollama Ollama Mtmd GLM4V
- Implementation:Mbzuai oryx Awesome LLM Post training Json Dump Progressive
- Implementation:Mlc ai Mlc llm Model Metadata Impl
Heuristics
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:InternLM Lmdeploy Backend Selection Strategy
- Heuristic:Predibase Lorax LoRA Kernel Selection By Rank
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
Environments
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Bentoml BentoML BentoCloud Credentials
- Environment:Zai org CogVideo Diffusers Finetuning Environment
- Environment:Snorkel team Snorkel PyTorch
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Unstructured IO Unstructured GitHub Actions