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🔥 PyTorch
Deep Learning, Neural Networks, Model Training, Tensors
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113093
posts in
1.18
s
Tensor learning with orthogonal,
Lorentz
, and
symplectic
symmetries
arxiv.org
·
21h
🗄️
Vector Databases
Modalities
, a
PyTorch-native
Framework For Large-scale LLM Training and Research
arxiv.org
·
2d
🤖
LLMs
Gibbs Measures from Deep Shaped
Multilayer
Perceptrons
link.aps.org
·
14h
🤖
LLMs
Image Classification with
CNNs
– Part 3: Understanding Max
Pooling
and Results
dev.to
·
6h
·
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DEV
👁️
Computer Vision
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
1d
·
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Hacker News
🤖
AI
PyG
Documentation —
pytorch
_geometric documentation
pytorch-geometric.readthedocs.io
·
3d
·
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Hacker News
🗄️
Vector Databases
The 4 Mixture of Experts Architectures: How to Train
100B
Models at
10B
Cost
pub.towardsai.net
·
13h
🤖
LLMs
Grassmannian
Manifold
Learning: Optimization and Deep Learning Architectures
hackernoon.com
·
1d
🗄️
Vector Databases
Carnegie
Mellon at
NeurIPS
2025
blog.ml.cmu.edu
·
1d
🤖
LLMs
BetaZero
V2: A Diffusion Model for Setting
Boulder
Problems
evmojo37.substack.com
·
3h
·
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Substack
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Vector Databases
A Hands-On Introduction to Restricted
Boltzmann
Machines with a Minimal
NumPy
Implementation
github.com
·
1d
·
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DEV
🤖
Machine Learning
Microgpt.py
gist.github.com
·
1d
·
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Hacker News
,
Hacker News
🤖
LLMs
Order
parameters
and phase transitions of
continual
learning in deep neural networks
pnas.org
·
1d
🤖
LLMs
hirako2000/latent-energy
: An Energy Based Model to solve
nonograms
via self supervised CNN
github.com
·
2d
·
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Hacker News
👁️
Computer Vision
Generalized
Lanczos
method for systematic optimization of neural-network quantum states
link.aps.org
·
16h
⚛️
Quantum Computing
AI in Multiple
GPUs
: Understanding the Host and Device
Paradigm
towardsdatascience.com
·
13h
🔄
Concurrency
A C implementation of the inference pipeline for the Mistral AI’s
Voxtral
Realtime
4B model
blog.adafruit.com
·
10h
🤖
AI
Adventures
in Neural
Rendering
interplayoflight.wordpress.com
·
2d
·
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Hacker News
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LLMs
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
1d
·
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Hacker News
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Machine Learning
AI
Inference
Needs A
Mix-And-Match
Memory Strategy
semiengineering.com
·
18h
🤖
LLMs
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