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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:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Huggingface Datatrove Summary Statistics
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Onnx Onnx Model Validation
- Workflow:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Cypress io Cypress Binary Build and Release
Principles
- Principle:Mit han lab Llm awq W8A8 Vision Encoder Quantization
- Principle:Microsoft DeepSpeedExamples Baseline PyTorch Training
- Principle:MaterializeInc Materialize Container Registry Publishing
- Principle:Huggingface Datasets Pandas Dataset Building
- Principle:Langchain ai Langchain Document Indexing
- Principle:Explodinggradients Ragas Legacy Evaluation Pipeline
- Principle:Eric mitchell Direct preference optimization Evaluation And Sampling
- Principle:Sktime Pytorch forecasting Positional Encoding
- Principle:Huggingface Datatrove Context Window Shuffling
- Principle:LaurentMazare Tch rs Group Normalization
Implementations
- Implementation:Datahub project Datahub DataHubClientException
- Implementation:Scikit learn Scikit learn RANSACRegressor
- Implementation:Ggml org Ggml Ggml opt fit
- Implementation:Langfuse Langfuse API Metrics V2 Schema
- Implementation:Lance format Lance Java JsonFields
- Implementation:LMCache LMCache Redis Adapter
- Implementation:InternLM Lmdeploy Serve Api Server
- Implementation:Google deepmind Dm control Composer Variation
- Implementation:Heibaiying BigData Notes Job SetCombinerClass
- Implementation:Protectai Llm guard Output JSON
Heuristics
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:OpenBMB UltraFeedback Score 10 Anomaly Correction
- Heuristic:Langchain ai Langchain Text Splitter Separator Hierarchy
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Groq Groq python Streaming Usage Stats
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:Ggml org Llama cpp Context Size Alignment
Environments
- Environment:Google deepmind Mujoco C Build Environment
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Sail sg LongSpec Inference Environment
- Environment:Sgl project Sglang CPU Runtime
- Environment:Apache Flink Java Build Environment
- Environment:Langgenius Dify Credentials And Env Vars