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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:Apache Druid Visual Data Exploration
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Cleanlab Cleanlab Token Classification Label Quality
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
Principles
- Principle:Mit han lab Llm awq NVILA Multimodal Architecture
- Principle:Tensorflow Serving Multi Inference
- Principle:Mlflow Mlflow Tracking Environment Configuration
- Principle:ClickHouse ClickHouse MIME Multipart Processing
- Principle:Microsoft Playwright Execute API Requests
- Principle:Sktime Pytorch forecasting Learning Rate Finding
- Principle:Rapidsai Cuml Cluster Model Fitting
- Principle:Neuml Txtai Prompt Engineering
- Principle:MaterializeInc Materialize Cluster and Index Configuration
- Principle:Norrrrrrr lyn WAInjectBench Supervised Training Loop
Implementations
- Implementation:Hpcaitech ColossalAI SFTTrainer
- Implementation:Fede1024 Rust rdkafka Metadata Wrappers
- Implementation:InternLM Lmdeploy AttentionQuantization
- Implementation:Langchain ai Langchain ChatModelIntegrationTests Subclass
- Implementation:TobikoData Sqlmesh ModalConfirmation
- Implementation:Deepspeedai DeepSpeed GDS Op
- Implementation:DistrictDataLabs Yellowbrick Dataset Containers
- Implementation:SeleniumHQ Selenium HasCdp
- Implementation:Elevenlabs Elevenlabs python SessionStartedPayloadConfig
- Implementation:Apache Airflow Helm Template Deployment
Heuristics
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Pytorch Serve Torch Compile Best Practices
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:Neuml Txtai Thread Safety Constraints
Environments
- Environment:Langfuse Langfuse Node 24 Runtime
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Openai Openai agents python MCP Dependencies
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Sgl project Sglang Runtime
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend