Explore tweets tagged as #PyTorch
@clcoding
Python Coding
11 days
AI and ML for Coders in PyTorch: A Coder's Guide to Generative AI and Machine Learning.
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@crikvoke
Adamized
3 hours
AI Log :.- Implemented Transformer in PyTorch for a language translation task.- Explored Agentic AI & LLM models.- Studied GPT architecture in detail.- Learned basics of LangChain components & modules.- working on a dl project
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@KrishnaNaraKun
πŸ₯± Sleepy (ML/DL)
13 days
Deep Learning with Pytorch : From Zero to GNN. Deep Learning tutorials, taught by Prof Aritra Sen, teaching #DeepLearning using #Pytorch . Link in comments πŸ˜ŽπŸ‘‡
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@rasbt
Sebastian Raschka
6 days
Couldn't resist. Here's a pure PyTorch from-scratch re-implementation of Gemma 3 270M in a Jupyter Notebook (uses about 1.49 GB RAM):
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@rasbt
Sebastian Raschka
9 days
Gemma 3 270M! Great to see another awesome, small open-weight LLM for local tinkering. Here's a side-by-side comparison with Qwen3. Biggest surprise that it only has 4 attention heads!
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@aipierrepierre
Pierre - Learn AI with me
5 days
If you want to be cracked at AI engineering, you absolutely have to understand PyTorch. Use it. Master it. Understand it. Because PyTorch is the DNA of modern AI development. Give me your next 10 minutes, and I'll tell you 90% of what you need. And it won't be boring. 🧡
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@maidishahoon
disha
3 days
Starting my day with pytorch πŸ”₯
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@neural_avb
AVB
7 days
Massive PyTorch tutorial video is now published on my channel! . Goes from tensor programming basics, automatic differentiation to the implementation ideas behind some of the most useful networks.
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@gp_pulipaka
Dr. Ganapathi Pulipaka πŸ‡ΊπŸ‡Έ
4 days
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@neural_avb
AVB
10 days
More people should know about Captum. They are a model interpretability library for PyTorch with a crazy collection of explainability algorithms - gradient based, SHAP-based, LIME-based. It's actually insane how cool this is.
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@neural_avb
AVB
4 days
In case you missed it, I made a 42 minute PyTorch video this week. (Link below)
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@anyantudre
Alban NYANTUDRE
2 days
Day 1 of [Maths&ML Grind]⚑.> Studied: 2.5 hrs.> Topic: PyTorch. Refreshed PyTorch basics using Appendix A: Intro to PyTorch from Build a LLM from Scratch by @rasbt and PyTorch docs tutorial. #MathsMLGrind
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@PyTorch
PyTorch
3 days
Introducing #ZenFlow: No Compromising Speed for #LLM Training w/ Offloading.5Γ— faster LLM training with offloading.85% less GPU stalls.2Γ— lower I/O overhead.πŸš€ Blog: πŸš€ Try ZenFlow and experience 5Γ— faster training with offloading:
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@sun__yum
sun yum
4 days
practised some pytorch by coding encoder block, as much as i hate writing code this was actually fun. still far from writing it all on my own, had to follow a tutorial. will code decoder tomorrow, gn;)
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@PyTorch
PyTorch
1 day
Boosting inference efficiency for LLaMA-based encoders:. Nested Jagged Tensors (NJTs) improve DRAMA model inference by 1.7x–2.3x, making high-performing LLM encoders more practical for production. πŸ”— Latest blog: #PyTorch #LLM #OpenSourceAI #OpenSource
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