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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:Mistralai Client python Finetuning Job Management
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:HKUDS AI Trader Data Pipeline
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Groq Groq python Audio Transcription
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
Principles
- Principle:Openai Openai python Image Generation
- Principle:OpenBMB UltraFeedback Fine Grained Preference Annotation
- Principle:Huggingface Trl SFT Argument Configuration
- Principle:NVIDIA DALI Custom Operator Build System
- Principle:Nautechsystems Nautilus trader Venue Configuration Schema
- Principle:Triton inference server Server Signal Handling
- Principle:Google deepmind Mujoco Sensor Pipeline
- Principle:Sktime Pytorch forecasting V2 Data Pipeline
- Principle:Openai CLIP Image Preprocessing
- Principle:Run llama Llama index Text Chunking
Implementations
- Implementation:Bentoml BentoML Gradio Mount
- Implementation:Anthropics Anthropic sdk python WebSearchTool 20250305
- Implementation:Google deepmind Dm control Tolerance Reward
- Implementation:Evidentlyai Evidently Project Add And Configure
- Implementation:NVIDIA DALI C API V2 Error Handling
- Implementation:Open compass VLMEvalKit Pixtral
- Implementation:Haosulab ManiSkill QuadrupedSpin
- Implementation:Allenai Open instruct Setup Datasets
- Implementation:Apache Paimon Schema With Blob Options
- Implementation:CrewAIInc CrewAI Linkup Search Tool
Heuristics
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
Environments
- Environment:Snorkel team Snorkel PySpark
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Datahub project Datahub Java Build
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Datahub project Datahub Python Ingestion
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment