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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 |
Explore Pages
Workflows
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:Haotian liu LLaVA Single Image Inference
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Haosulab ManiSkill Custom Task Development
- Workflow:Farama Foundation Gymnasium Policy Gradient Training
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Lucidrains X transformers DPO Preference Alignment
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Sdv dev SDV Single table synthesis
- Workflow:Alibaba ROLL DPO Training Pipeline
Principles
- Principle:Ggml org Llama cpp KVCacheManagement
- Principle:Langchain ai Langgraph Task Definition
- Principle:Groq Groq python Audio File Preparation
- Principle:Bentoml BentoML Model Cleanup
- Principle:Allenai Open instruct Environment Setup
- Principle:Huggingface Datasets Dataset Testing
- Principle:Zai org CogVideo SAT Weight Export
- Principle:TA Lib Ta lib python Technical Indicator Computation
- Principle:Eric mitchell Direct preference optimization Dropout Disabling
- Principle:Microsoft Autogen Tool Workbench
Implementations
- Implementation:Infiniflow Ragflow QueryBase
- Implementation:SeleniumHQ Selenium Closure Structs Set
- Implementation:Unstructured IO Unstructured Detect Filetype
- Implementation:Cypress io Cypress SetupV8Snapshots
- Implementation:SeleniumHQ Selenium Rectangle
- Implementation:OpenGVLab InternVL Streamlit Chat App
- Implementation:InternLM Lmdeploy Calibrate
- Implementation:ContextualAI HALOs Alpaca Eval CLI
- Implementation:NVIDIA NeMo Curator BaseReader
- Implementation:Ollama Ollama Imagegen MLX Compile
Heuristics
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:PacktPublishing LLM Engineers Handbook LoRA Finetuning Parameters
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:VainF Torch Pruning Over Pruning Prevention
Environments
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:FlowiseAI Flowise Database Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Kserve Kserve Cert Manager
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment