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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:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Alibaba ROLL Reward Flow Diffusion Pipeline
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
Principles
- Principle:Microsoft Onnxruntime Nodejs Inference Execution
- Principle:Sail sg LongSpec Tree Attention Verification
- Principle:Hpcaitech ColossalAI Preference Dataloader Setup
- Principle:Huggingface Diffusers Training Configuration
- Principle:Fastai Fastbook Language Model Fine Tuning
- Principle:Ggml org Llama cpp Prompt Tokenization
- Principle:Haosulab ManiSkill RL Evaluation Checkpointing
- Principle:Teamcapybara Capybara File Uploads
- Principle:DataTalksClub Data engineering zoomcamp Data Deduplication
- Principle:CarperAI Trlx Q Value Guided Generation
Implementations
- Implementation:Microsoft Playwright CssParser
- Implementation:ArroyoSystems Arroyo Plan Graph Builder
- Implementation:Datajuicer Data juicer ExtractEntityAttributeMapper
- Implementation:Ggml org Llama cpp Base64
- Implementation:Ggml org Llama cpp Multimodal Download
- Implementation:OpenGVLab InternVL POPE Benchmark Evaluation
- Implementation:Google deepmind Mujoco Filetype Detection
- Implementation:Duckdb Duckdb CMake Project Configuration
- Implementation:Turboderp org Exllamav2 MMLU Benchmark
- Implementation:PrefectHQ Prefect Prefect Yaml Schema
Heuristics
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Princeton nlp SimPO Dropout Disabling
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
- Heuristic:Heibaiying BigData Notes Kafka Consumer Offset Strategy Tip
- Heuristic:Apache Hudi Write Memory Tuning
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:Tencent Ncnn FP16 Precision Selection
Environments
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Guardrails ai Guardrails Docker Server Runtime
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Interpretml Interpret Visualization Environment
- Environment:Facebookresearch Habitat lab HITL Runtime Environment