Bharat 's repositories
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
Awesome-Pruning
A curated list of neural network pruning resources.
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
Compositional Generation using Diffusion Models PyTorch
deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
glide-finetune
Finetune glide-text2im from openai on your own data.
Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
HASR_iccv2021
This is an official repository of paper "Refining Action Segmentation with Hierarchical Video Representations", which is accepted as a regular paper (poster) in ICCV 2021.
imagecaptioning-bias
Code for the paper "Understanding and Evaluating Racial Biases in Image Captioning"
ivy
The Unified Machine Learning Framework
LMMS
Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
multilingual-vqa
Repository for Multilingual-VQA task created during HuggingFace JAX/Flax community week.
NAS-With-Code
Neural Architecture Search (NAS) papers with code
NATS
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Python-Projects
Some interesting Python projects
qnn
Training neural nets with quantized weights on arbitrarily specified bit-depth
robust-generalization-flatness
Implementation of average- and worst-case robust flatness measures for adversarial training.
scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
vpt
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
wanda
A simple and effective LLM pruning approach.