We’re thrilled to have presented our work from IIT Roorkee’s Data Science Group at ICLR 2025!
Check out our papers and blogposts here:
dsgiitr.in/research/
Proud to represent India at one of the world’s top AI conferences!
#ICLR2025#AI#ML#IITR
We’re launching a two week event for all IITs. Students at each IIT have the opportunity to unlock Perplexity Pro for their entire campus, and I’ll be visiting the IIT with the most Perplexity users later this year.
Today we are releasing the Open Buildings Dataset, a new open-source dataset containing the locations and footprints of >500M buildings with coverage across Africa, which can support numerous scientific and humanitarian applications. Read more at goo.gle/3751HVR
The team @WadhwaniAI has built a multi-task network that detects pest infestations in cotton crops. This technology is being put directly in the hands of more than 18,000 farmers across India using #PyTorch Mobile, TorchServe, and Weights & Biases. bit.ly/wadhwani-ai-co…
DistilBART is awesome and super fast! Thank you @huggingface for releasing this!
We built this demo app with Dash in <200 lines that summarizes articles in real time (even on entry-level GPUs).
Code here: github.com/plotly/dash-sa…
While all of IITR junta is quarantined at their homes, practicing social distancing, we have put together some of our most recommended resources for the junta to read.
github.com/sdslabs/recomm…
Happy learning and stay safe!
Ever wondered what @PyTorch nn.Module and nn.Parameter do really? And how hooks actually work? Here's a working implementation from scratch of their key functionality, in one tweet!
From our upcoming book and course:
- usfca.edu/data-institute…
- amazon.com/Deep-Learning-…
github.com/dsgiitr/graph_…
Our team has been working in the domain of Graph Representation Learning recently. This repo holds the PyTorch Implementation along with Simplified Blogs to breakthrough papers in the field.
#MachineLearning
The best way to understand deep learning is learning by doing. Dive into Deep Learning (D2L.ai) is an interactive deep learning book on Jupyter notebooks, using the NumPy interface. Check it out: d2l.ai
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