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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:Intel Ipex llm LoRA Finetuning
- Workflow:Huggingface Open r1 Reasoning Data Generation
- Workflow:Openai Whisper Audio Transcription
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Fastai Fastbook Image Classification
- Workflow:Isaac sim IsaacGymEnvs Factory Assembly Training
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
Principles
- Principle:Kubeflow Pipelines Training Data Preparation
- Principle:Apache Kafka JVM Classpath Assembly
- Principle:ArroyoSystems Arroyo UDF Authoring
- Principle:Microsoft Autogen State Persistence
- Principle:Huggingface Transformers Benchmark Results Persistence
- Principle:Online ml River Streaming Statistics
- Principle:MaterializeInc Materialize Randomized Chaos Testing
- Principle:ArroyoSystems Arroyo UDF Compilation
- Principle:Tensorflow Tfjs Weight Constraints
- Principle:Snorkel team Snorkel Transformation Application
Implementations
- Implementation:Ggml org Llama cpp Llama Model Load For Embeddings
- Implementation:Speechbrain Speechbrain SpeakerBrain Compute Forward
- Implementation:Online ml River Datasets CreditCard
- Implementation:Kornia Kornia AugmentationSequential Forward
- Implementation:LMCache LMCache Logging
- Implementation:Deepspeedai DeepSpeed XPU Adam SYCL
- Implementation:Iterative Dvc Pathspec Math
- Implementation:Hiyouga LLaMA Factory V1 Launcher
- Implementation:ARISE Initiative Robosuite BaxterRobot
- Implementation:Microsoft Playwright IPC Driver
Heuristics
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:FlowiseAI Flowise Tool Ordering Convention
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:NVIDIA NeMo Aligner PPO NCCL Algorithm Setting
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:VainF Torch Pruning Pruning Ratio vs Parameter Ratio
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Alibaba MNN LLM Runtime Tuning
Environments
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Lance format Lance Python Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Getgauge Taiko Docker Container
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment