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Deep Learning
🔬 Deep Learning
neural networks, backpropagation, training, deep neural
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📊
Machine Learning
arXiv
·
4d
4 days ago
SSH-Net
: A
Deep
Neural
Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
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Actions for SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
🖥️
GPU Computing
NVIDIA Technical Blog
·
12h
12 hours ago
CCCL Runtime: A Modern C++ Runtime for
CUDA
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Actions for CCCL Runtime: A Modern C++ Runtime for CUDA
🧠
Transformer Architecture
medium.com
·
2d
2 days ago
Why
Deep
Neural
Networks
Failed for 25 Years
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Actions for Why Deep Neural Networks Failed for 25 Years
📊
Machine Learning
medium.com
·
1h
1 hour ago
Loss
Functions
: Measuring How Wrong a
Neural
Network is
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Actions for Loss Functions: Measuring How Wrong a Neural Network is
📊
Machine Learning
Journal of Machine Learning
·
2d
2 days ago
Algorithmically Designed Artificial
Neural
Networks
(ADANNs): Higher Order
Deep
Operator Learning for Parametric Partial Differential Equations
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Actions for Algorithmically Designed Artificial Neural Networks (ADANNs): Higher Order Deep Operator Learning for Parametric Partial Differential Equations
🧠
Transformer Architecture
medium.com
·
17h
17 hours ago
Deep
Learning
(Part-04): The Forward Pass of a
Neural
Network, Explained
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Actions for Deep Learning (Part-04): The Forward Pass of a Neural Network, Explained
📊
Machine Learning
LeetArxiv
·
5d
5 days ago
Forward Forward Algorithm in Python
Discussed on
r/programming
and
Substack
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Actions for Forward Forward Algorithm in Python
📊
Machine Learning
VertoxQuant
·
21h
21 hours ago
Volatility Forecasting using
Neural
Networks
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Actions for Volatility Forecasting using Neural Networks
🧠
Transformer Architecture
medium.com
·
2d
2 days ago
Your Brain Is the World’s Most Powerful Computer — And It Just Inspired a Revolution
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Actions for Your Brain Is the World’s Most Powerful Computer — And It Just Inspired a Revolution
📊
Machine Learning
medium.com
·
1h
1 hour ago
Your GPU Is Idle More Than You Think, and Your DataLoader Is the Reason
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Actions for Your GPU Is Idle More Than You Think, and Your DataLoader Is the Reason
📊
Machine Learning
medium.com
·
7h
7 hours ago
Teaching Computers to
Train
Together: Building a Distributed Training Platform Across Multiple GPUs…
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Actions for Teaching Computers to Train Together: Building a Distributed Training Platform Across Multiple GPUs…
📊
Machine Learning
medium.com
·
5d
5 days ago
Which GPU Should You Choose for Computer Vision
Training
?
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Actions for Which GPU Should You Choose for Computer Vision Training?
🔥
PyTorch
idlemachines.co.uk
·
2d
2 days ago
The annotated
PyTorch
training
loop
Discussed on
Hacker News
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Actions for The annotated PyTorch training loop
🖥️
GPU Computing
graphsignal.com
·
1d
1 day ago
CUDA
Profiler for Production Inference
Discussed on
Hacker News
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Actions for CUDA Profiler for Production Inference
🧠
LLMs
GitHub
·
3d
3 days ago
Show HN: NanoEuler – GPT-2 scale model in pure
C/CUDA
from scratch
Discussed on
Hacker News
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Actions for Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch
⚙️
MLOps
Nature
·
2d
2 days ago
smDeepFLUOR: single-molecule
deep
learning
fluorescence classification
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Actions for smDeepFLUOR: single-molecule deep learning fluorescence classification
🧠
Transformer Architecture
link.aps.org
·
5h
5 hours ago
Transformer-based
operator
learning
framework for self-energy in strongly correlated systems
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Actions for Transformer-based operator learning framework for self-energy in strongly correlated systems
📊
Machine Learning
The Palindrome
·
5d
5 days ago
The Math You Missed Behind
Gradient
Descent
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Actions for The Math You Missed Behind Gradient Descent
📊
Machine Learning
kaggle.com
·
1d
1 day ago
LoRA: I
Trained
<1% of a 1.5B Model and Matched a Full
Fine-Tune
Discussed on
DEV
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Actions for LoRA: I Trained <1% of a 1.5B Model and Matched a Full Fine-Tune
📊
Machine Learning
LessWrong
·
19h
19 hours ago
Naturally
learned
behaviors in
deep
MLPs resist detection by both human and
learned
algorithms
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Actions for Naturally learned behaviors in deep MLPs resist detection by both human and learned algorithms
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