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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:Rapidsai Cuml Time Series Forecasting
- Workflow:Sgl project Sglang Frontend Language Multi Turn Chat
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Evidentlyai Evidently LLM Evaluation Monitoring
Principles
- Principle:Run llama Llama index Global Settings Configuration
- Principle:Arize ai Phoenix Application Instrumentation
- Principle:Ggml org Ggml Graph Computation Execution
- Principle:Ucbepic Docetl Baseline Pipeline Authoring
- Principle:Lucidrains X transformers Universal Pretraining
- Principle:Microsoft Semantic kernel Vector Similarity Search
- Principle:NVIDIA DALI File Reading
- Principle:Cleanlab Cleanlab Multiannotator Consensus Estimation
- Principle:Sktime Pytorch forecasting Time Series Data Loading
- Principle:Elevenlabs Elevenlabs python Audio Sample Preparation
Implementations
- Implementation:PacktPublishing LLM Engineers Handbook FastLanguageModel For Inference
- Implementation:Arize ai Phoenix FaithfulnessEvaluator
- Implementation:Datahub project Datahub DataHub Frontend Access
- Implementation:Google deepmind Mujoco MJWarp Types
- Implementation:Apache Druid MeasureDialog
- Implementation:Diagram of thought Diagram of thought LLM Response Capture
- Implementation:Ggml org Ggml Sycl binary broadcast
- Implementation:Infiniflow Ragflow MCPToolCallSession
- Implementation:CARLA simulator Carla Junction
- Implementation:Online ml River Bandit Exp3
Heuristics
- Heuristic:DataTalksClub Data engineering zoomcamp CSV Chunk Size Optimization
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Adam Beta1 Half
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Deepspeedai DeepSpeed Vocabulary Tensor Core Alignment
Environments
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Apache Beam Portable Runner Environment
- Environment:Sgl project Sglang CPU
- Environment:Huggingface Datatrove Python Runtime
- Environment:Openai Openai python Voice Helpers
- Environment:Vllm project Vllm CUDA Hopper
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:Bentoml BentoML Triton Inference Server