Fast and memory-efficient exact attention
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Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Thin, unified, C++-flavored wrappers for the CUDA APIs
- api-wrapper
- cuda
- cuda-runtime-api
- modern-cpp
C++ implementation of a fast and memory efficient HAT-trie
- cpp
- trie
- hat-trie
- data-structures
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
End-To-End Memory Network using Tensorflow
- memory-networks
- tensorflow
- nlp
Communicating with godot engine through shared memory
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
MatAnyone-E: Sparse Memory Propagation for Efficient High-Resolution Video Matting
lock-free, concurrent, key/value index with efficient memory-mapped persistence and fast transient storage models
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
A fast, simple, memory-efficient graph layout algorithm for visualizing networks in D3
- javascript
- d3js
- graph
- visualization