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jthomas48896f/neural-net-lab jthomas48896f/neural-net-lab Machine learning from scratch in NumPy, including a transformer with gradient checks (7 of 7 passing) and a published PyTorch benchmark (4.13x per step at identical size).
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Machine learning from scratch in NumPy, including a transformer with gradient checks (7 of 7 passing) and a published PyTorch benchmark (4.13x per step at identical size).
Python
#from-scratch#machine-learning#numpy#pytorch-benchmark#transformer
good first issue
jthomas48896f/neural-net-lab jthomas48896f/neural-net-lab Machine learning from scratch in NumPy, including a transformer with gradient checks (7 of 7 passing) and a published PyTorch benchmark (4.13x per step at identical size).
Open project →
0
Machine learning from scratch in NumPy, including a transformer with gradient checks (7 of 7 passing) and a published PyTorch benchmark (4.13x per step at identical size).
Python
#from-scratch#machine-learning#numpy#pytorch-benchmark#transformer