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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:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:Sdv dev SDV Constrained synthesis
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Bigscience workshop Petals Server Contribution
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:NVIDIA DALI Custom Operator Development
Principles
- Principle:Langchain ai Langgraph Chatbot Simulation Evaluation
- Principle:Apache Flink PyFlink Build Distribution
- Principle:Apache Kafka Multi Architecture Image Build
- Principle:Googleapis Python genai History Management
- Principle:CARLA simulator Carla Sensor Data Streaming
- Principle:Explodinggradients Ragas Metric Baseline Correlation
- Principle:Cleanlab Cleanlab Object Detection Issue Filtering
- Principle:Online ml River Prediction Anomaly Detection
- Principle:Huggingface Trl SFT Training Execution
- Principle:FlagOpen FlagEmbedding Query Passage Pair Formatting
Implementations
- Implementation:Guardrails ai Guardrails Install API Extra
- Implementation:FlowiseAI Flowise ComponentsListDialog
- Implementation:Hpcaitech ColossalAI DPOTrainer
- Implementation:Run llama Llama index Download Dataset
- Implementation:Vibrantlabsai Ragas AspectCritic
- Implementation:Iterative Dvc Api Experiments
- Implementation:TA Lib Ta lib python Abstract Input Preparation
- Implementation:Openai Openai node Batches Resource
- Implementation:PacktPublishing LLM Engineers Handbook Run Finetuning On Sagemaker
- Implementation:Infiniflow Ragflow FileUpload Component
Heuristics
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Microsoft Autogen Name Uniqueness Constraints
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
Environments
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Vllm project Vllm AMD ROCm
- Environment:Fastai Fastbook NLP SpaCy Environment