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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:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:Tensorflow Serving Model Version Management
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Lm sys FastChat LoRA QLoRA Finetuning
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
Principles
- Principle:Fastai Fastbook Activation Functions
- Principle:Apache Flink Bucket Data Writing
- Principle:Neuml Txtai Topic Modeling
- Principle:Google deepmind Mujoco Resource Cleanup
- Principle:LaurentMazare Tch rs Token Embedding
- Principle:Avhz RustQuant Option Greeks
- Principle:CrewAIInc CrewAI State Model Design
- Principle:AUTOMATIC1111 Stable diffusion webui Prompt Syntax
- Principle:Snorkel team Snorkel Generative Label Model Training
- Principle:Ggml org Ggml CPU Compute Engine
Implementations
- Implementation:Puppeteer Puppeteer Cdp Accessibility
- Implementation:Hiyouga LLaMA Factory Attention Config
- Implementation:Evidentlyai Evidently Recsys Preset
- Implementation:Microsoft Agent framework Custom Aggregator Callback
- Implementation:Apache Druid Aggregate Macro
- Implementation:Scikit learn Scikit learn Lars
- Implementation:Nightwatchjs Nightwatch Custom Assertion Interface
- Implementation:Ggml org Llama cpp Convert Llama GGML To GGUF
- Implementation:Puppeteer Puppeteer Browser Data Types
- Implementation:Triton inference server Server TRT LLM Run
Heuristics
- Heuristic:Sdv dev SDV Gaussian KDE Incompatibility
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Spotify Luigi Dynamic Requirements Generator
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Deepseek ai Janus Image Generation Prompt Tips
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
Environments
- Environment:BerriAI Litellm Provider API Credentials
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:SeleniumHQ Selenium Contributor Development Environment
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Pola rs Polars Rust Build Environment
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Trailofbits Fickling Python Runtime