JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
High-performance KNN similarity functions in Python, optimized for sparse matrices
High-performance batched Top-K selection for CPU inference. Up to 80x faster than PyTorch, optimized for LLM sampling with AVX2 SIMD.
High performance approximate algorithms in Go (e.g. morris counter, count min, etc.)
A fast and highly accurate differentiable Top-k operator from the "Successive Halving Top-k Operator" AAAI'21 paper.
[ICML2022] Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Paradise of Algorithms
Filtered Top K common words with one MapReduce
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
Zeta is a highly configurable, high-performance, low-cost distributed cache warming framework for Spring Boot.
Backend agnostic batched radix-based GPU topK in Julia
jigsaw sketch implementation
Algorithms for traversing spatial networks and performing top-k queries.
A single-file, JIT-compiled CUDA batch top-k with variable k and variable sequence length per row.
RAG Internals, How RAG pipelines actually work under the hood - a general internal visual explanation.
Collecting topk stat from big files using multiple threads [EXPERIMENT]
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