kaushalya Goto Github PK
Name: Kaushalya Madhawa
Type: User
Bio: Building machine learning models.
Twitter: kau_mad
Location: Tokyo, Japan
Name: Kaushalya Madhawa
Type: User
Bio: Building machine learning models.
Twitter: kau_mad
Location: Tokyo, Japan
Solutions to coding problems and implementations of basic algorithms
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A curated list of Causality in Computer Vision
Python library for Multi-Armed Bandits
Caffe: a fast open framework for deep learning.
Caffe models in TensorFlow
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Chat with your data natively on Apple Silicon using MLX Framework.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Utility to test the performance of CoreML models.
project website
MIT Deep Learning Book in PDF format
Dias: Dynamic Rewriting of Pandas Code
A modular framework for neural networks with Euclidean symmetry
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A pure-functional implementation of a machine learning transformer model in Python/JAX
Implementation of Graph Convolutional Networks in TensorFlow
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Pytorch Implementation of GNN Meta Attack paper.
Graph Neural Network Models in Pytorch
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Machine learning toolkit for General purpose GPUs
:ramen: Minimalist Jekyll Template
Pure-functional neural networks in JAX
Personal page
Open Source Differentiable Computer Vision Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.