AsmitaBhat30

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

awesome-implicit-representations

A curated list of resources on implicit neural representations.

NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

MixNMatch

Pytorch implementation of MixNMatch

vilbert-multi-task

Multi Task Vision and Language

nvidia-htop

A tool for enriching the output of nvidia-smi.

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

VLP

Vision-Language Pre-training for Image Captioning and Question Answering

shapegan

Generative Adversarial Networks and Autoencoders for 3D Shapes

few-shot-gan-adaptation

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

inr-gan

[CVPR 2021] Adversarial Generation of Continuous Images

books

GON

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

signed-distance-SRN

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)

posterior-collapse-list

A curated list of techniques to avoid posterior collapse

airfoil-opt-gan

Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"

dirichlet-vae-topic-models

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

bezier-gan

Bézier Generative Adversarial Networks

Perceptual-Autoencoders

Experiments with perceptual loss and autoencoders.

negated-prompts-for-llms

[NeurIPS 2022 Workshop] A Case Study with Negated Prompts using T0 (3B, 11B), InstructGPT (350M-175B), GPT-3 (350M - 175B) & OPT (125M - 175B) LMs

PaDGAN

PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs

skip-vae

DG-VAEs

The source code for paper "Improving Variational Autoencoders with Density Gap-based Regularization" (NIPS 2022)