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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 Multimodal Inference
- Workflow:Huggingface Diffusers DreamBooth Personalization
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:CARLA simulator Carla Autonomous Navigation
Principles
- Principle:FlagOpen FlagEmbedding Finetuned Reranker Validation
- Principle:SeldonIO Seldon core HuggingFace Model Resource Definition
- Principle:Turboderp org Exllamav2 Multimodal Prompt Encoding
- Principle:Lucidrains X transformers Preference Data Preparation
- Principle:Mit han lab Llm awq Vision Transformer Encoding
- Principle:ArroyoSystems Arroyo Job State Machine
- Principle:NVIDIA DALI Custom Operator Class Definition
- Principle:Tencent Ncnn Neural Network Inference
- Principle:Webdriverio Webdriverio Performance Instrumentation
- Principle:Hiyouga LLaMA Factory Model Quantization
Implementations
- Implementation:Alibaba MNN Protobuf Generated Table Driven H
- Implementation:Tensorflow Serving Multi Inference
- Implementation:Vllm project Vllm CPU SHM
- Implementation:LMCache LMCache Connector V1 085
- Implementation:Ollama Ollama Serve
- Implementation:NVIDIA NeMo Aligner Process To Regression Format
- Implementation:NVIDIA TransformerEngine CUDA Graph
- Implementation:Microsoft Onnxruntime SequenceInfo
- Implementation:Tensorflow Serving Tfrt Regressor
- Implementation:Open compass VLMEvalKit VGRPBench Kakuro
Heuristics
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
Environments
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Vllm project Vllm AWS ECR
- Environment:DataTalksClub Data engineering zoomcamp Dbt DuckDB Environment
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment