dasayan05 Goto Github PK

2024

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-sketch-based-applications

:books: A collection of sketch based application papers.

bnlp

BNLP is a natural language processing toolkit for Bengali Language.

capsule-net-tf

A tiny implementation of Capsule Network

carrom_rl

A Pygame+Pymunk Carrom Simulation Testbed for reinforcement learning. [CS747][ Foundations of Intelligent and Learning Agents]

chirodiff

ChiroDiff: Modelling chirographic data with Diffusion Models

condor

A python interface to HTCondor job scheduler

dasayan05

My Github profile README repo

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

digilib

A tiny digital logic circuit designing library in C++

iclr24_blog_code

Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"

jsonargparse

Parsing of command line options, yaml/jsonnet config files and/or environment variables based on argparse

mlpack

mlpack: a scalable C++ machine learning library --

mlx

MLX: An array framework for Apple silicon

mlx-benchmark

Benchmark of Apple's MLX operations on mlx gpu, cpu, torch mps and cuda.

mlx-data

Efficient framework-agnostic data loading

mlx-examples

Examples in the MLX framework

neuralode-pytorch

A simple implementation of ODE Layer from Neural ODE

neuralsort-siggraph

Neural Sort implementation for "Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?" accepted @ SIGGRAPH Asia 2020

patterns-of-randomness

Code to reproduce figures from my blog post https://dasayan05.github.io/blog-tut/2020/04/15/patterns-of-randomness.html

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

quickdraw_nn_dataset

PyTorch nn.Dataset for QuickDraw

rlx

A modular Reinforcement Learning library for research

sketchanet-quickdraw

Implements Sketch-a-Net in PyTorch and trains it with QuickDraw raster images

sketchds

Dataset preprocessing and PyTorch Dataloaders for popular sketch/drawing datasets