Kaushalya

medclip

A multi-modal CLIP model trained on the medical dataset ROCO

metal

Pytorch implementation of the paper "MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning"

jax_playground

Pure-functional neural networks in JAX

kornia

Open Source Differentiable Computer Vision Library

algo_journal

Solutions to coding problems and implementations of basic algorithms

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

Awesome-Causality-in-CV

A curated list of Causality in Computer Vision

BACPI-affinity

chat-with-mlx

Chat with your data natively on Apple Silicon using MLX Framework.

coreml-performance

Utility to test the performance of CoreML models.

dias

Dias: Dynamic Rewriting of Pandas Code

e3nn

A modular framework for neural networks with Euclidean symmetry

escnn

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

functional-transformer

A pure-functional implementation of a machine learning transformer model in Python/JAX

jax_vision_transformer

kaushalya.github.io

Personal page

lab

🧪 Organize PyTorch Experiments

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

llama2.c

Inference Llama 2 in one file of pure C

lpips-pytorch

A simple and useful implementation of LPIPS.

mlx-examples

Examples in the MLX framework

nerf-pytorch

A PyTorch re-implementation of Neural Radiance Fields

protein-bert-pytorch

Implementation of ProteinBERT in Pytorch

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

scikit-image

Image processing in Python

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.