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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:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:DevExpress Testcafe Programmatic Test Execution
- Workflow:Turboderp org Exllamav2 Bulk Dataset Inference
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Farama Foundation Gymnasium Policy Gradient Training
- Workflow:TobikoData Sqlmesh Model development and testing
Principles
- Principle:Google deepmind Mujoco MJX Data Retrieval
- Principle:Pola rs Polars Time Range Filtering
- Principle:Fastai Fastbook Tabular Data Loading
- Principle:Arize ai Phoenix Experiment Result Analysis
- Principle:AUTOMATIC1111 Stable diffusion webui Model Loading
- Principle:Zai org CogVideo SAT Environment Setup
- Principle:Webdriverio Webdriverio Batching Pattern
- Principle:SeldonIO Seldon core Explainer Model Deployment
- Principle:Roboflow Rf detr Training Loop Execution
- Principle:ClickHouse ClickHouse PCG Random Number Generation
Implementations
- Implementation:Datahub project Datahub DatahubClientConfig
- Implementation:Pytorch Serve Inferentia2 OPT Handler
- Implementation:LMCache LMCache Metadata
- Implementation:Isaac sim IsaacGymEnvs SimplePlotterTasks
- Implementation:Alibaba ROLL DPOTrainer
- Implementation:Ucbepic Docetl Dataset Debate Transcripts
- Implementation:NVIDIA NeMo Curator DataDesignerStage
- Implementation:Scikit learn Scikit learn SparseFuncs
- Implementation:Openai Openai agents python ItemHelpers
- Implementation:Vllm project Vllm Env Override
Heuristics
- Heuristic:Facebookresearch Audiocraft Gradient Balancing For Multi Loss
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:FMInference FlexLLMGen OOM Memory Management
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Vibrantlabsai Ragas Concurrency And Retry Configuration
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
Environments
- Environment:Spotify Luigi Hadoop HDFS Cluster
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:OWASP Www project top 10 for large language model applications GenAI Red Team Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Alibaba MNN CPU Build Environment
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Avhz RustQuant Rust Stable
- Environment:Langchain ai Langchain Python 3 10 Runtime