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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Graph Neural Network Library for PyTorch
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A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Python package built to ease deep learning on graph, on top of existing DL frameworks.
NumPy aware dynamic Python compiler using LLVM
A framework for few-shot evaluation of language models.
A lightweight LLVM python binding for writing JIT compilers
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
A validation and profiling tool for AI infrastructure
Stretching GPU performance for GEMMs and tensor contractions.