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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:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Princeton nlp SimPO Model Inference
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Liu00222 Open Prompt Injection Prompt Injection Experiment
- Workflow:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Huggingface Open r1 Reasoning Data Generation
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
Principles
- Principle:Apache Kafka Builder Cleanup
- Principle:Vllm project Vllm Speculative Generation
- Principle:ArroyoSystems Arroyo UDF Runtime Execution
- Principle:LaurentMazare Tch rs Stable Diffusion
- Principle:EvolvingLMMs Lab Lmms eval Few Shot Sampling
- Principle:LaurentMazare Tch rs Trainable JIT Loading
- Principle:Microsoft Playwright Export and Refine
- Principle:Huggingface Diffusers Checkpoint Format Identification
- Principle:Webdriverio Webdriverio Plugin Resolution
- Principle:Nautechsystems Nautilus trader Live Node Lifecycle
Implementations
- Implementation:Triton inference server Server CommandLineParser
- Implementation:Openai Openai python Response Compaction Item Param
- Implementation:Apache Spark SparkSession Builder
- Implementation:ArroyoSystems Arroyo Session Window
- Implementation:EvolvingLMMs Lab Lmms eval Padding Requests
- Implementation:LaurentMazare Tch rs Llama New
- Implementation:Elevenlabs Elevenlabs python Llm Enum
- Implementation:Microsoft Onnxruntime CUDA TrainingSplit
- Implementation:Speechbrain Speechbrain Load Hyperpyyaml
- Implementation:Open compass VLMEvalKit molmo
Heuristics
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
Environments
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:AUTOMATIC1111 Stable diffusion webui GPU Compute Backend
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:BerriAI Litellm Docker Deployment
- Environment:Sgl project Sglang Web
- Environment:Obss Sahi Python Detection Frameworks