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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:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Tensorflow Tfjs Transfer Learning
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Protectai Modelscan Custom Scanner Plugin
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Cypress io Cypress Project Setup and Configuration
Principles
- Principle:Scikit learn Scikit learn Cross Validation
- Principle:Openai Whisper Audio Loading
- Principle:Turboderp org Exllamav2 Sampling Configuration
- Principle:Openai Evals Eval Orchestration
- Principle:Predibase Lorax Container Environment Setup
- Principle:LMCache LMCache Cluster Management
- Principle:Eventual Inc Daft Lazy Dependency Loading
- Principle:SeldonIO Seldon core Candidate Model Deployment
- Principle:Ray project Ray Actor Termination
- Principle:Apache Airflow DAG File Discovery
Implementations
- Implementation:NVIDIA TransformerEngine Ops L2Normalization
- Implementation:Ollama Ollama Imagegen ZImage
- Implementation:Getgauge Taiko Gauge Spec Format
- Implementation:PeterL1n BackgroundMattingV2 VideoWriter
- Implementation:Online ml River Metrics LogLoss
- Implementation:Allenai Open instruct Build Reference Logprobs Cache
- Implementation:SeleniumHQ Selenium Closure Array
- Implementation:Open compass VLMEvalKit SArena Inception
- Implementation:TobikoData Sqlmesh VSCode OpenAPI Spec
- Implementation:Vllm project Vllm QuickReduce Base
Heuristics
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:Norrrrrrr lyn WAInjectBench Zero Vector Fallback Failed Embeddings
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Datajuicer Data juicer Checkpoint Resumption Strategy
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Microsoft Onnxruntime ORTModule Wrapping Order
Environments
- Environment:Vllm project Vllm AMD ROCm
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Recommenders team Recommenders Spark Environment