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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:Shiyu coder Kronos CSV Finetuning
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:Heibaiying BigData Notes Spark SQL Data Analysis
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
Principles
- Principle:Mlc ai Web llm Chrome Extension Manifest
- Principle:Openai CLIP Text Tokenization
- Principle:Duckdb Duckdb Skip List Data Structure
- Principle:Scikit learn Scikit learn Naive Bayes Classification
- Principle:Getgauge Taiko Request Handler Functions
- Principle:TobikoData Sqlmesh Development Environment Creation
- Principle:Hiyouga LLaMA Factory Mixture of Experts
- Principle:Openai Openai agents python Guardrail Execution
- Principle:Heibaiying BigData Notes Flink Kafka Source
- Principle:OWASP Www project top 10 for large language model applications Translation Publication
Implementations
- Implementation:Recommenders team Recommenders RLRMC Dataset
- Implementation:Vibrantlabsai Ragas NoiseSensitivityV2
- Implementation:CARLA simulator Carla Apply Texture Tool
- Implementation:Tensorflow Serving HTTPServer
- Implementation:Treeverse LakeFS Java SDK Model RefList
- Implementation:InternLM Lmdeploy Core Array
- Implementation:Microsoft Autogen Studio Run View
- Implementation:Hpcaitech ColossalAI ChineseTextSplitter
- Implementation:Elevenlabs Elevenlabs python Alignment
- Implementation:NVIDIA DALI DynamicScratchpad
Heuristics
- Heuristic:Pola rs Polars Lazy Over Eager Preference
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
Environments
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment