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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:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:OpenGVLab InternVL Benchmark Evaluation
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Iterative Dvc Experiment Tracking
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Openai Openai python Embeddings Generation
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:Apache Paimon Lance Format Analytics
Principles
- Principle:Dagster io Dagster External Compute Orchestration
- Principle:Risingwavelabs Risingwave CDC PostgreSQL Schema Management
- Principle:FMInference FlexLLMGen Sharded Mixture Of Experts
- Principle:Heibaiying BigData Notes HBase Data Insertion
- Principle:Spcl Graph of thoughts Thought Scoring
- Principle:Ggml org Llama cpp Speculative Decoding
- Principle:Apache Hudi Read Reconciliation
- Principle:Volcengine Verl Reward Model Scoring
- Principle:FlowiseAI Flowise Chunk Management
- Principle:Ollama Ollama ImageGeneration
Implementations
- Implementation:DistrictDataLabs Yellowbrick Drawing Utilities
- Implementation:EvolvingLMMs Lab Lmms eval GroundingMe YAML Config
- Implementation:Tensorflow Serving Tflite Session
- Implementation:Arize ai Phoenix Prompts Get
- Implementation:Open compass VLMEvalKit ScreenSpot
- Implementation:Avhz RustQuant FractionalOrnsteinUhlenbeck
- Implementation:Huggingface Alignment handbook Get Dataset Mixture
- Implementation:Huggingface Trl GRPO Reward Functions
- Implementation:Datahub project Datahub ProtobufDescriptorUtils
- Implementation:Online ml River Datasets Bananas
Heuristics
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Princeton nlp SimPO Multi Seed Diversity
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Nautechsystems Nautilus trader Order Rate Limiting Configuration
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Unslothai Unsloth Padding Free Packing
Environments
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Pytorch Serve CUDA GPU Environment
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Haosulab ManiSkill Real Robot LeRobot Deps
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment