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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:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:Neuml Txtai Pipeline Workflow Chaining
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Openai Openai python Image Generation
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
Principles
- Principle:Unstructured IO Unstructured Benchmark Execution
- Principle:Pyro ppl Pyro MCMC Numerical Methods
- Principle:Apache Beam Windmill Connection Setup
- Principle:Anthropics Anthropic sdk python Streaming Structured Output
- Principle:Sktime Pytorch forecasting Categorical Encoding
- Principle:Eventual Inc Daft List Explosion
- Principle:LLMBook zh LLMBook zh github io Bitsandbytes Quantization
- Principle:Confident ai Deepeval Retriever Span Enrichment
- Principle:Ggml org Llama cpp Configuration
- Principle:Mlc ai Web llm Chat Inference
Implementations
- Implementation:TobikoData Sqlmesh SQLMeshModel Extension
- Implementation:Avhz RustQuant Sequences
- Implementation:Protectai Llm guard PromptInjection
- Implementation:Google deepmind Mujoco MJWarp Support
- Implementation:Pyro ppl Pyro Poutine Runtime
- Implementation:Interpretml Interpret InitializeGradientsAndHessians
- Implementation:Interpretml Interpret ApproximateMath
- Implementation:OWASP Www project top 10 for large language model applications Invoice Agent Main
- Implementation:Kornia Kornia KMeans
- Implementation:Onnx Onnx Load Model
Heuristics
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Romsto Speculative Decoding Ngram Order Selection
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
Environments
- Environment:Sail sg LongSpec Training Environment
- Environment:Haosulab ManiSkill Real Robot LeRobot Deps
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Openai Openai python Azure OpenAI
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Spotify Luigi Hadoop HDFS Cluster
- Environment:Huggingface Diffusers Training Environment
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment