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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:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Ucbepic Docetl Long Document Chunking
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Openai CLIP Zero shot image classification
- Workflow:Ray project Ray Remote Task Execution
Principles
- Principle:Microsoft Autogen Tool Workbench
- Principle:Datahub project Datahub Java SDK Dependency Setup
- Principle:Huggingface Datasets Lance Dataset Building
- Principle:Huggingface Datasets Dataset Mapping
- Principle:Lance format Lance Schema Evolution
- Principle:CrewAIInc CrewAI Semantic Retrieval
- Principle:Run llama Llama index Embedding Finetune Execution
- Principle:AUTOMATIC1111 Stable diffusion webui SD3 Text Conditioning Pipeline
- Principle:Zai org CogVideo Dataset Preparation
- Principle:Facebookresearch Habitat lab Policy Network Initialization
Implementations
- Implementation:NVIDIA NeMo Aligner SupervisedTrainer Fit
- Implementation:Ggml org Ggml Cpu x86 quants
- Implementation:BerriAI Litellm AWS Secret Manager V2
- Implementation:Ggml org Llama cpp KV Cells
- Implementation:Promptfoo Promptfoo Telemetry
- Implementation:Scikit learn Scikit learn BenchHistGBThreading
- Implementation:Google deepmind Dm control Tolerance Reward
- Implementation:Spotify Luigi BatchTask AWS
- Implementation:Neuml Txtai Reranker
- Implementation:Zai org CogVideo SAT Training Main
Heuristics
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:Microsoft Onnxruntime ORTModule Wrapping Order
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:Pyro ppl Pyro Numerical Stability Patterns
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Teamcapybara Capybara Negative Predicate Matching
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
Environments
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Huggingface Alignment handbook Python PEFT