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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:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:Bentoml BentoML Model Store Management
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Alibaba ROLL DPO Training Pipeline
Principles
- Principle:DistrictDataLabs Yellowbrick Class Prediction Error Analysis
- Principle:Risingwavelabs Risingwave CDC PostgreSQL Schema Management
- Principle:Langchain ai Langchain Input Preparation For Streaming
- Principle:CARLA simulator Carla Autopilot Mode
- Principle:NVIDIA NeMo Aligner Checkpoint Management
- Principle:Farama Foundation Gymnasium Passive Environment Validation
- Principle:Axolotl ai cloud Axolotl Vision Language Model Loading
- Principle:Apache Kafka Process Launch
- Principle:LMCache LMCache NIXL KV Transfer
- Principle:Eric mitchell Direct preference optimization Checkpoint Saving
Implementations
- Implementation:Microsoft Autogen RoundRobinGroupChat Init
- Implementation:Protectai Llm guard Input BanSubstrings
- Implementation:SeldonIO Seldon core Seldon Pipeline CRD Explainer
- Implementation:CrewAIInc CrewAI SingleStore Search Tool
- Implementation:Pola rs Polars SQL Collect and Output
- Implementation:Zai org CogVideo CogVLM2 Predict
- Implementation:Teamcapybara Capybara Minitest Expectations
- Implementation:Microsoft DeepSpeedExamples Gather Memory
- Implementation:Nautechsystems Nautilus trader Check Nautilus Conventions
- Implementation:Promptfoo Promptfoo writeOutput
Heuristics
- Heuristic:Datahub project Datahub Venv Copies Mode
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:Zai org CogVideo CPU Offload Strategy
- Heuristic:Speechbrain Speechbrain Gradient Clipping Strategy
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
Environments
- Environment:Predibase Lorax Docker Container Runtime
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment