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🔥 PyTorch
Deep Learning, Neural Networks, GPU Computing, Model Training
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Image
Classification
with
Convolutional
Neural Networks
dev.to
·
6h
·
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DEV
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Computer vision
Automating Inference Optimizations with NVIDIA
TensorRT
LLM
AutoDeploy
developer.nvidia.com
·
7h
🧠
OpenAI
FCDP
: Fully
Cached
Data Parallel for Communication-Avoiding Large-Scale Training
arxiv.org
·
21h
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NumPy
Using light-based computing to
tackle
complex
challenges
queensu.ca
·
12h
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NumPy
Faster
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Unlocked
With New System For Massive Language Models
quantumzeitgeist.com
·
12h
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OpenAI
Writing a
ONNX
Neural Network Inference Engine from Scratch in C to run image classification with
MobileNetV2
flexw.github.io
·
1d
·
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r/C_Programming
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OpenAI
Building Highly Efficient Inference System for
Recommenders
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PyTorch
pytorch.org
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OpenAI
Tutorial – What is a
variational
autoencoder
?
jaan.io
·
8h
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Grad-CAM
Science-Informed
Design of Deep Learning With Applications to Wireless Systems: A
Tutorial
arxiv.org
·
21h
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scikit-learn
Trainy-ai/pluto
: Next Generation Experimental Tracking for Machine Learning Operations
github.com
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6h
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Machine learning
GPU for AI Training:
Powering
the Next Generation of
Intelligent
Systems
dev.to
·
2d
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OpenAI
How
Anam
Achieved 250% Faster Inference Using
Zymtrace
Continuous GPU Profiling
zymtrace.com
·
1d
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Grad-CAM
Show HN: Model Training Memory
Simulator
czheo.github.io
·
1d
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Grad-CAM
NVIDIA
VibeTensor
: AI Just Built Its Own Deep Learning Engine… And It Actually Works (AI
Revolution
youtube.com
·
1d
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OpenAI
Main
Content ||
Math
∩ Programming
jeremykun.com
·
1d
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scikit-learn
Show HN: Find automation ideas and
creators
by
sharing
your business problem
humation.ai
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39m
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OpenAI
LocalGPT
: A local AI assistant with
persistent
memory in a single binary
localgpt.app
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6h
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OpenAI
On AI:
Environmental
Impact
jmoiron.net
·
16h
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OpenAI
Physics-Informed Neural Networks for
Inverse
PDE
Problems
pub.towardsai.net
·
2d
📈
Seaborn
A Guide to the
DataLoader
Class and
Abstractions
in PyTorch
digitalocean.com
·
6d
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scikit-learn
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