dakshitagrawal
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Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
💯 Curated coding interview preparation materials for busy software engineers
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Neural Networks: Zero to Hero
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
A curated list of awesome console services (reachable via HTTP, HTTPS and other network protocols)
A curated list of engineering blogs
Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019
Our very own Operating System built from scratch for x86 architecture systems!
VIP cheatsheets for Stanford's CS 230 Deep Learning
List of DL topics and resources essential for cracking interviews
Summaries for exciting works in the field of Deep Learning.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A comprehensive list of published machine learning applications to cosmology
A repository providing implementations of generative models in various frameworks.
VIP cheatsheets for Stanford's CS 229 Machine Learning
PyTorch Implementation of DCGAN trained on the CelebA dataset.
PyTorch implementations of Generative Adversarial Networks.
Awesome Generative Adversarial Networks with tensorflow
Code for our paper "Acoustic Features Fusion using Attentive Multi-channel Deep Architecture" in Keras and tensorflow