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Machine Learning
🤖 Machine Learning
ML, neural networks, model training, deep learning
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ml-from-scratch-book/code
: Companion code for
Machine
Learning
From Scratch — 10 core
ML
algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
🐍
Python
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
TFLite Edge
Model
Quantizer Snippet
🐍
Python
itsevilduck.gumroad.com
·
3d
3 days ago
·
DEV
Actions for TFLite Edge Model Quantizer Snippet
Major Types of
Machine
Learning
🌀
Complexity Theory
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Major Types of Machine Learning
Siri AI at WWDC 2026
⚙️
Engineering Process
simonwillison.net
·
3d
3 days ago
·
Hacker News
Actions for Siri AI at WWDC 2026
NVIDIA A100 vs RTX 4090 for AI Workloads: The Cost Per FLOP Reality
🌐
Distributed Systems
Content type:
Blog
fitservers.com
·
3d
3 days ago
Actions for NVIDIA A100 vs RTX 4090 for AI Workloads: The Cost Per FLOP Reality
A
machine-learning-based
reconstruction of surface mass balance over the Greenland Ice Sheet from 1950 to 2020
🐍
Python
Content type:
Academic
nature.com
·
3d
3 days ago
Actions for A machine-learning-based reconstruction of surface mass balance over the Greenland Ice Sheet from 1950 to 2020
Compatibility-Aware Dynamic
Fine-Tuning
for
Large
Language Models
🌐
Distributed Systems
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
Mycol: A user-friendly app for automating analysis of microscopy images
🐍
Python
Content type:
Academic
biorxiv.org
·
6d
6 days ago
Actions for Mycol: A user-friendly app for automating analysis of microscopy images
Using Probabilistic Programs to
Train
Inductive Reasoning in
Large
Language
Models
🔄
Systems Thinking
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models
I stopped using most of Rust’s advanced features for my
ML
library
✍️
Technical Writing
Content type:
Code
github.com
·
3d
3 days ago
·
r/rust
Actions for I stopped using most of Rust’s advanced features for my ML library
Fisher-Guided Progressive Parameter Selection for Adaptive
Fine-Tuning
🌀
Complexity Theory
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning
The Order Matters: Sequential
Fine-Tuning
of LLaMA for Coherent Automated Essay Scoring
🔣
Logic
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than
PyTorch
🌐
Distributed Systems
Content type:
Code
github.com
·
6d
6 days ago
·
DEV
Actions for Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
A Theory on Flow Matching with
Neural
Networks
🌀
Complexity Theory
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for A Theory on Flow Matching with Neural Networks
Parameter-Efficient Adapter
Tuning
for Tabular-Image Multimodal
Learning
🗄️
Databases
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning
SLUUG Talk: Demystifying
Large
Language
Models
on Linux
🔣
Logic
Content type:
Code
github.com
·
5d
5 days ago
·
DEV
Actions for SLUUG Talk: Demystifying Large Language Models on Linux
A Scalable
PyTorch
Abstraction for Multi-GPU Gaussian Splatting
🌐
Distributed Systems
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting
Forward-Only Convolutional
Neural
Networks
with Learnable Channel-Class Assignment
🌐
Distributed Systems
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
Simplicity Suffices for Parameter Noise Injection in Stochastic
Gradient
Descent
🌀
Complexity Theory
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Simplicity Suffices for Parameter Noise Injection in Stochastic Gradient Descent
Loss Landscape Diagnosis for
Gradient-Based
Gray-Scott System Inversion: Disentangling the Roles of PINN Components
🌐
Distributed Systems
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
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