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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:Danijar Dreamerv3 Evaluation Only
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
- Workflow:Hpcaitech ColossalAI LLaMA Continual Pretraining
- Workflow:Mistralai Client python Azure Chat Completion
Principles
- Principle:Cleanlab Cleanlab Integrated Label Issue Detection
- Principle:Ggml org Llama cpp Constrained Decoding
- Principle:Lucidrains X transformers DPO Wrapper Setup
- Principle:Run llama Llama index Agent Output Processing
- Principle:Google deepmind Mujoco Island Discovery
- Principle:OpenGVLab InternVL Supervised Training Loop
- Principle:Dotnet Machinelearning Hybrid Dense Sparse Storage
- Principle:Mlfoundations Open flamingo Visual Input Preprocessing
- Principle:Ggml org Llama cpp Target Model Loading
- Principle:Webdriverio Webdriverio PII Filtering
Implementations
- Implementation:Infiniflow Ragflow KnowledgebaseService Create With Name
- Implementation:Tencent Ncnn Benchmark Timer
- Implementation:Arize ai Phoenix Create Evaluator Decorator
- Implementation:Ollama Ollama Imagegen GLM4 Parser
- Implementation:Google deepmind Mujoco MJX Mesh
- Implementation:Tencent Ncnn Mat Pixel Affine
- Implementation:Datajuicer Data juicer Load Ops
- Implementation:Tencent Ncnn Extractor Input And Extract
- Implementation:BerriAI Litellm Fallback Utils
- Implementation:Tensorflow Serving File System Storage Path Source Test
Heuristics
- Heuristic:Truera Trulens Trace Compression Token Limits
- Heuristic:Microsoft LoRA Selective LoRA QV Only
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:AnswerDotAI RAGatouille Searcher Configuration By Collection Size
- Heuristic:Arize ai Phoenix Adaptive Rate Limiting
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
Environments
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Apache Airflow Development Contributor Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Openai Openai agents python LiteLLM Dependencies