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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:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Protectai Modelscan Custom Scanner Plugin
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Openai CLIP Linear probe evaluation
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Mlc ai Mlc llm REST API Serving
Principles
- Principle:Anthropics Anthropic sdk python Thinking Configuration
- Principle:Apache Kafka Topic Creation
- Principle:Tencent Ncnn Instance Segmentation
- Principle:ClickHouse ClickHouse WebSocket Communication
- Principle:NVIDIA NeMo Curator Web Data Acquisition
- Principle:Isaac sim IsaacGymEnvs Core Simulation Methods
- Principle:Kserve Kserve Prediction Protocol
- Principle:Eventual Inc Daft Distributed Scaling Ray
- Principle:Scikit learn contrib Imbalanced learn Dataset Imbalancing
- Principle:Microsoft Playwright Execute API Requests
Implementations
- Implementation:OpenGVLab InternVL Run LLaVA CLI
- Implementation:Openai Openai node Completions Create
- Implementation:Explodinggradients Ragas DataTable To Pandas
- Implementation:Sdv dev SDV BaseSynthesizer Save Load
- Implementation:Ucbepic Docetl Dataset Debate Transcripts
- Implementation:Tencent Ncnn TF Dialect
- Implementation:Anthropics Anthropic sdk python Cloud Provider Clients
- Implementation:FlowiseAI Flowise GetEvaluation
- Implementation:Ucbepic Docetl DSLRunner Load Run Save For Baseline
- Implementation:Hpcaitech ColossalAI GPT Judge
Heuristics
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
Environments
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Getgauge Taiko Chromium Browser
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Langgenius Dify Python Backend Environment
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Trailofbits Fickling PyTorch
- Environment:Groq Groq python Python Groq SDK
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime