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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A collection of full time roles in SWE, Quant, and PM for new grads.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experimentation and analysis.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A list of awesome beginners-friendly projects.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A topic-centric list of HQ open datasets.
ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.
Train and Inference your custom YOLO-NAS model by Single Command Line
an edge-real-time anchor-free object detector with decent performance
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Tools to Design or Visualize Architecture of Neural Network
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Instant neural graphics primitives: lightning fast NeRF and more