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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 LoRA QLoRA Finetuning
- Workflow:Puppeteer Puppeteer Browser Installation And Management
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:OpenBMB UltraFeedback Completion Generation
- Workflow:Haifengl Smile Matrix Decomposition Pipeline
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Infiniflow Ragflow Knowledge Base Document Ingestion
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
Principles
- Principle:Zai org CogVideo Lookup Free Quantization
- Principle:Huggingface Datasets Stream Iteration
- Principle:Puppeteer Puppeteer PDF Generation
- Principle:Protectai Llm guard Emotion Detection
- Principle:Scikit learn contrib Imbalanced learn Under Sampling Base Abstraction
- Principle:Mlc ai Web llm Tool Definition
- Principle:Scikit learn contrib Imbalanced learn Sensitivity Specificity Analysis
- Principle:Facebookresearch Audiocraft Sound Dataset Augmented Loading
- Principle:Webdriverio Webdriverio ErrorHandling
- Principle:Snorkel team Snorkel Dict Dataset Preparation
Implementations
- Implementation:Tencent Ncnn SqueezeNetSSD Example
- Implementation:Openai Openai python Speech Create
- Implementation:Allenai Open instruct ActorManager
- Implementation:Sgl project Sglang CPU MoE FP8
- Implementation:Kornia Kornia Colormap Data
- Implementation:Roboflow Rf detr RFDETR Deploy To Roboflow
- Implementation:Haosulab ManiSkill BaseStruct
- Implementation:ArroyoSystems Arroyo Kafka Source
- Implementation:Ggml org Ggml Cpu backend api
- Implementation:Facebookresearch Audiocraft StandardSolver Checkpoints
Heuristics
- Heuristic:Protectai Llm guard ONNX Runtime Optimization
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:ContextualAI HALOs Online Round Budgeting
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:NVIDIA NeMo Aligner PPO NCCL Algorithm Setting
Environments
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Fastai Fastbook Sklearn Environment
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:Openai Whisper Triton
- Environment:Hiyouga LLaMA Factory Distributed Training Environment