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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:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Shiyu coder Kronos Batch Prediction
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:Farama Foundation Gymnasium Policy Gradient Training
- Workflow:Pyro ppl Pyro VAE Training
Principles
- Principle:Haifengl Smile File Data Loading
- Principle:Mlc ai Web llm Web Worker Engine Handler
- Principle:Microsoft Semantic kernel RAG Chat Augmentation
- Principle:Apache Dolphinscheduler Client Connection Pattern
- Principle:Datajuicer Data juicer Operator Fusion
- Principle:Helicone Helicone Cross Provider Transform
- Principle:LaurentMazare Tch rs Backpropagation Training
- Principle:Rapidsai Cuml UMAP Development Tooling
- Principle:Pyro ppl Pyro Learnable Parameters
- Principle:Tencent Ncnn Oriented Bounding Box Decoding
Implementations
- Implementation:CARLA simulator Carla VehicleLightState
- Implementation:Spotify Luigi AzureBlobTarget
- Implementation:Ollama Ollama Llama Memory Recurrent Types
- Implementation:NVIDIA NeMo Curator BaseWriter
- Implementation:SeleniumHQ Selenium Closure Testing Events
- Implementation:Run llama Llama index LLMQuestionGenerator
- Implementation:Huggingface Datasets Sql Builder
- Implementation:Deepspeedai DeepSpeed Fused LAMB Frontend
- Implementation:Datajuicer Data juicer RandomSelector
- Implementation:Triton inference server Server Perf Analyzer CLI
Heuristics
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Lucidrains X transformers MaskGIT Generation Tuning
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:Wandb Weave Batch Processing Tuning
Environments
- Environment:Tencent Ncnn Build Environment
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Sgl project Sglang CUDA GPU Runtime
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Huggingface Datatrove Python Runtime