Stars
A latent text-to-image diffusion model
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
Google Research
[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era
GLIDE: a diffusion-based text-conditional image synthesis model
Reading list for research topics in multimodal machine learning
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Minimal PyTorch implementations of NeRF and pixelNeRF.
[CVPR 2021] CDFI: Compression-Driven Network Design for Frame Interpolation
Taming Transformers for High-Resolution Image Synthesis
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
NVIDIA's Deep Imagination Team's PyTorch Library
A curated list of neural network pruning resources.
Fast Block Sparse Matrices for Pytorch
DynaVSR: Dynamic Adaptive Blind VideoSuper-Resolution
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training