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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:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Zai org CogVideo Video Editing DDIM Inversion
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Microsoft DeepSpeedExamples CIFAR10 Getting Started
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
Principles
- Principle:Neuml Txtai Index Persistence
- Principle:Huggingface Trl SFT Dataset Preparation
- Principle:Langchain ai Langchain Tool Execution
- Principle:Haosulab ManiSkill Trajectory Recording
- Principle:Online ml River Streaming Regression Metrics
- Principle:Confident ai Deepeval Evaluation Result Analysis
- Principle:Neuml Txtai Index Construction
- Principle:Ggml org Llama cpp Text Processing
- Principle:Mit han lab Llm awq NVILA Multimodal Architecture
- Principle:HKUDS AI Trader Frontend Cache Generation
Implementations
- Implementation:Getgauge Taiko Gauge Env Properties
- Implementation:Online ml River Datasets Restaurants
- Implementation:Rapidsai Cuml UMAP Web Results
- Implementation:Datajuicer Data juicer RandomSelector
- Implementation:Openai Openai python Image Gen Completed Event
- Implementation:Ucbepic Docetl Pipeline Schema Definition
- Implementation:Isaac sim IsaacGymEnvs Rl Games Runner Integration
- Implementation:Online ml River Ensemble Boosting
- Implementation:Explodinggradients Ragas Version Experiment Function
- Implementation:Ggml org Ggml Cpu impl
Heuristics
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:Volcengine Verl GPU Memory Utilization Tuning
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
Environments
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Openai Evals OpenAI API Configuration
- Environment:Apache Beam Portable Runner Environment
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Alibaba MNN HuggingFace Ecosystem Environment