Neural Networks

Feeds to Scour
SubscribedAll
Scoured 100 posts in 5.9 ms

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

 🧠Deep Learning  Content type: Academic
arxiv.org·

PyTorch from Scratch — Part 1: Tensors, Gradients & Activations

 🤖AI
x.com··DEV

maziyarpanahi/openmed: open-source healthcare ai

 🤖AI  Content type: Code
github.com·

Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks

 🤖AI

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

 🔍Information Retrieval
pub.towardsai.net
·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🤖AI  Content type: News  Content type: Blog

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 🤖AI

Siri AI at WWDC 2026

 🤖AI

OpenEnv is now owned by HF, Torch, Prime Intellect, Unsloth, Modal, Mercor, and more! Use it for training agents.

 🤖AI  Content type: Blog

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

 🧠Deep Learning  Content type: Academic
arxiv.org·

From SGD to Muon: An Incremental Tutorial (Fable-5)

 📈Optimization  Content type: Blog

iblameandrew/open-deepthink: Grok-heavy at the price of API cost. You choose the model. An unlimited army to think about your problem.

 ✍️Prompt Engineering  Content type: Code
github.com··r/LocalLLaMA

A Theory on Flow Matching with Neural Networks

 🤖AI  Content type: Academic
arxiv.org·

Towards Critical Branching Mechanism in Recurrent Neural Networks

 🤖AI  Content type: Academic
arxiv.org·

I stopped using most of Rust’s advanced features for my ML library

 🤖AI  Content type: Code
github.com··r/rust

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

 🤖Machine Learning  Content type: Academic
arxiv.org·

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

 🔨Auction Theory  Content type: Academic
arxiv.org·

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

 💬LLMs  Content type: Code
github.com··r/LocalLLaMA

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

 🧠Deep Learning  Content type: Academic
arxiv.org·

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training

 📈Optimization  Content type: Academic
arxiv.org·

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help