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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:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:OpenRLHF OpenRLHF SFT Training
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Alibaba MNN Stable Diffusion Deployment
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Googleapis Python genai Text Content Generation
Principles
- Principle:Dotnet Machinelearning Gradient Boosted Tree Histogram
- Principle:Zai org CogVideo DDIM Inversion
- Principle:LaurentMazare Tch rs Tensor Format Conversion
- Principle:Ggml org Ggml Model Training
- Principle:Online ml River Sklearn Compatibility
- Principle:Allenai Open instruct Distributed Data Loading
- Principle:Openclaw Openclaw Onboarding Wizard
- Principle:Intel Ipex llm LoRA Adapter Injection
- Principle:Ggml org Ggml Computation Graph Construction
- Principle:AUTOMATIC1111 Stable diffusion webui Input image mode configuration
Implementations
- Implementation:Interpretml Interpret Synthetic Dataset Generation
- Implementation:Scikit learn Scikit learn Learning Curve
- Implementation:Vibrantlabsai Ragas Documentation Configuration
- Implementation:Google research Deduplicate text datasets Load Dataset HF
- Implementation:Huggingface Optimum GPTQQuantizer Pack Model
- Implementation:Volcengine Verl Compute GRPO Outcome Advantage
- Implementation:Online ml River Metrics SMAPE
- Implementation:Tensorflow Tfjs Models Test
- Implementation:Zai org CogVideo SAT Get Model Load Checkpoint
- Implementation:Google deepmind Dm control Trajectory
Heuristics
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:CARLA simulator Carla Synchronous Mode Fixed Delta
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Microsoft Autogen Agent Thread Safety
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Fede1024 Rust rdkafka Partitioner Must Not Block
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:Roboflow Rf detr Resolution Divisibility Rule
Environments
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Protectai Llm guard API Server Deployment
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:Sdv dev SDV Python Runtime
- Environment:Intel Ipex llm Pipeline Parallel Environment
- Environment:Intel Ipex llm CPU Finetuning Environment