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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:Intel Ipex llm QLoRA Finetuning
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
- Workflow:Mit han lab Llm awq AWQ Model Evaluation
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:TobikoData Sqlmesh Dbt project migration
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Hpcaitech ColossalAI Distributed GRPO Training
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Openclaw Openclaw Multi Agent Routing
Principles
- Principle:Huggingface Alignment handbook Direct Preference Optimization
- Principle:Obss Sahi Result Visualization
- Principle:Microsoft Playwright Define Agent Actions with Perform
- Principle:Microsoft Onnxruntime PyTorch Model Preparation
- Principle:Online ml River Streaming Adjusted Rand
- Principle:Diagram of thought Diagram of thought Reasoning Path Analysis
- Principle:Tencent Ncnn Foreign Model Conversion
- Principle:Neuml Txtai Task Creation
- Principle:Bigscience workshop Petals Distributed Autograd
- Principle:Online ml River Adaptive Random Forest
Implementations
- Implementation:Hiyouga LLaMA Factory WebUI Eval Component
- Implementation:Apache Paimon Schema From Pyarrow
- Implementation:OpenHands OpenHands OrgService Persist With Compensation
- Implementation:Openai Openai python Tool Choice Allowed
- Implementation:Speechbrain Speechbrain Whisper ASR Compute Forward
- Implementation:Pyro ppl Pyro MaternKernel
- Implementation:Ggml org Ggml Sycl softmax
- Implementation:Teamcapybara Capybara Selenium Driver Specialization
- Implementation:CrewAIInc CrewAI File Read Tool
- Implementation:Speechbrain Speechbrain Prepare CommonLanguage
Heuristics
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Datahub project Datahub Validation Cross API
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Mage ai Mage ai Parallel Sink Concurrency Limit
Environments
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Haosulab ManiSkill Python SAPIEN Core