Research Scientist @ Huawei R&D UK. Ph.D @ University of Surrey. Deep Generative Models.
stroke-ae. Bezier AE approach to sketch generation
31typst-ai-conf-templates. AI conference templates in Typst
25iclr24_blog_code. Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"
23sketchanet-quickdraw. Implements Sketch-a-Net in PyTorch and trains it with QuickDraw raster images
21chirodiff. ChiroDiff: Modelling chirographic data with Diffusion Models
20neuralsort-siggraph. Neural Sort implementation for "Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?" accepted @ SIGGRAPH Asia 2020
12sketchode. Code repo for "SketchODE: Learning neural sketch representation in continuous time" published in ICLR 2022
11rlx. A modular Reinforcement Learning library for research
10capsule-net-TF. A tiny implementation of Capsule Network
8condor. A python interface to HTCondor job scheduler
6Awesome-Sketch-Based-Applications. :books: A collection of sketch based application papers.
3patterns-of-randomness. Code to reproduce figures from my blog post https://dasayan05.github.io/blog-tut/2020/04/15/patterns-of-randomness.html
3neuralode-pytorch. A simple implementation of ODE Layer from Neural ODE
2mlx-benchmark. Benchmark of Apple's MLX operations on mlx gpu, cpu, torch mps and cuda.
1digiLib. A tiny digital logic circuit designing library in C++
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