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View All on GitHub Windows cp1252 sweep: make root scripts unicode-safe 2 months ago
good first issue
LambdaSection/NeuralDBG LambdaSection/NeuralDBG Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
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24
Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Python
#causal-inference#debugging#deep-learning#gradients#machine-learning#neural-networks#pytorch#training-monitoring
Add a bi-LSTM preset to demo_app.py (HF Space) 2 months ago
good first issue
LambdaSection/NeuralDBG LambdaSection/NeuralDBG Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Open project →
24
Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Python
#causal-inference#debugging#deep-learning#gradients#machine-learning#neural-networks#pytorch#training-monitoring
good first issue
LambdaSection/NeuralDBG LambdaSection/NeuralDBG Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Open project →
24
Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Python
#causal-inference#debugging#deep-learning#gradients#machine-learning#neural-networks#pytorch#training-monitoring
Unit tests for RLDetector (33% coverage today) 2 months ago
good first issue
LambdaSection/NeuralDBG LambdaSection/NeuralDBG Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Open project →
24
Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop.
Python
#causal-inference#debugging#deep-learning#gradients#machine-learning#neural-networks#pytorch#training-monitoring