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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:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Alibaba MNN Stable Diffusion Deployment
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Puppeteer Puppeteer Request Interception
- Workflow:OpenRLHF OpenRLHF Math Reasoning Training
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Lance format Lance Full Text Search
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
Principles
- Principle:Google research Deduplicate text datasets Byte Range Removal
- Principle:Anthropics Anthropic sdk python Client Initialization
- Principle:Sktime Pytorch forecasting Dependency Diagnostics
- Principle:CARLA simulator Carla Recording Event Querying
- Principle:Explodinggradients Ragas Agent Definition Interface
- Principle:Huggingface Peft Prefix Tuning
- Principle:Pytorch Serve Model Artifact Configuration
- Principle:Ggml org Llama cpp LoRA to GGUF Conversion
- Principle:Speechbrain Speechbrain Perceptual Quality Evaluation
- Principle:Openai Openai python Realtime Error Handling
Implementations
- Implementation:Roboflow Rf detr RFDETR Export
- Implementation:Webdriverio Webdriverio Gherkin Syntax Pattern
- Implementation:Microsoft Onnxruntime InferenceSession Run
- Implementation:NVIDIA NeMo Aligner MegatronGPT KTO Model
- Implementation:Avhz RustQuant Heston93 Model
- Implementation:Togethercomputer Together python Endpoint Types
- Implementation:Evidentlyai Evidently Legacy Words Descriptor
- Implementation:Openai Openai python Multipart File Handling
- Implementation:OpenGVLab InternVL MMBench VQA Inference
- Implementation:Risingwavelabs Risingwave StreamingStats Callbacks
Heuristics
- Heuristic:Huggingface Optimum Version Conditional Behavior
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:DevExpress Testcafe Concurrency Factor Limit
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
Environments
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Apache Kafka Docker Build Environment
- Environment:Huggingface Transformers PyTorch 24 CUDA
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Openai Openai node WebSocket Dependency
- Environment:SeleniumHQ Selenium Contributor Development Environment
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Allenai Open instruct CUDA GPU Training