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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:Bigscience workshop Petals Server Contribution
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Trailofbits Fickling PyTorch Format Identification
- Workflow:NVIDIA NeMo Curator Image Curation Pipeline
- Workflow:Confident ai Deepeval End to End LLM Evaluation
Principles
- Principle:Ollama Ollama Model Loading
- Principle:Microsoft Semantic kernel Agent Process Integration
- Principle:Volcengine Verl Trajectory Reward Shaping
- Principle:CARLA simulator Carla PID Vehicle Control
- Principle:Langchain ai Langchain Tool Execution
- Principle:SeleniumHQ Selenium Grid Server Building
- Principle:Togethercomputer Together python Batch Job Creation
- Principle:Lm sys FastChat Conversation Content Filtering
- Principle:PacktPublishing LLM Engineers Handbook User Resolution
- Principle:Online ml River Time Series Stream Loading
Implementations
- Implementation:Bentoml BentoML CLI Utils
- Implementation:Ollama Ollama Imagegen Tokenizer
- Implementation:FlowiseAI Flowise NodeOutputHandler
- Implementation:Langfuse Langfuse Seeder Data Generators
- Implementation:Cohere ai Cohere python JsonResponseFormat Model
- Implementation:Openai Openai node Zod String Parser
- Implementation:Datajuicer Data juicer FrequencySpecifiedFieldSelector
- Implementation:Online ml River Datasets MaliciousURL
- Implementation:Ggml org Llama cpp Model Loader Header
- Implementation:AUTOMATIC1111 Stable diffusion webui Decode latent batch
Heuristics
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:Webdriverio Webdriverio Stale Element Auto Refetch
- Heuristic:Apache Hudi Compaction Scheduling Safety
- Heuristic:MarketSquare Robotframework browser GRPC Response Chunking
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
Environments
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment