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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:Openai Openai python Chat Completion
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:Deepseek ai Janus Multimodal Understanding
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Guardrails ai Guardrails Server Deployment
Principles
- Principle:Neuml Txtai Embeddings Configuration
- Principle:OpenBMB UltraFeedback Score Validation and Correction
- Principle:Intel Ipex llm Lookahead Decoding
- Principle:Ggml org Llama cpp LoRA to GGUF Conversion
- Principle:Treeverse LakeFS API Authorization Specification
- Principle:Eventual Inc Daft Delta Lake Writing
- Principle:Intel Ipex llm Online API Serving
- Principle:Groq Groq python Embedding Input Preparation
- Principle:Huggingface Datasets Environment Reporting
- Principle:Dagster io Dagster Custom Resource Pattern
Implementations
- Implementation:Avhz RustQuant SupershareOption
- Implementation:Kserve Kserve LLM Worker Template
- Implementation:Princeton nlp Tree of thought llm Parse Args
- Implementation:FlagOpen FlagEmbedding LLARA Finetune Data
- Implementation:Datajuicer Data juicer VideoResizeResolutionMapper
- Implementation:BerriAI Litellm Generate Key Fn
- Implementation:Treeverse LakeFS Java SDK Model CredentialsWithSecret
- Implementation:Fastai Fastbook Backpropagation Manual
- Implementation:Duckdb Duckdb Generate Serialization
- Implementation:CarperAI Trlx Sweep
Heuristics
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Openai CLIP L2 Normalization For Cosine Similarity
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:DevExpress Testcafe Docker Chrome Tab Retry
- Heuristic:Datahub project Datahub Gradle Formatting Over Direct Tools
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
Environments
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:FlowiseAI Flowise Docker Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment