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4dgaussians

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

ace

Towards Automatic Concept-based Explanations

acorn

ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021

additive_decoder_extrapolation

adhesinlogicproject

afno-transformer

Adaptive FNO transformer - official Pytorch implementation

aged

code for " Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling" at AAAI-2023

agen

Adaptable generative prediction using recursive least square algorithm

agglomerator

Official code for "Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks" (CVPR2022)

alpaca-lora

Instruct-tune LLaMA on consumer hardware

amrbart

Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

apdrawinggan

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

arxiv-public-datasets

A set of scripts to grab public datasets from resources related to arXiv

attention_with_linear_biases

Code for the ALiBi method for transformer language models (ICLR 2022)

automata_browser

automata_generator

baby-vision

Self-supervised learning through the eyes of a child

babyagi

bacon

Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation"

barbershop

Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)

beta-variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows

bidirectional_dalle

Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation, Stage 2

bitcoind_client

Ruby interface to the 'bitcoind' JSON-RPC API.

btc-trader

A trading bot for trading Bitcoins on MtGox

cal

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

canonical-capsules

Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)

capsnet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

capsnet-visualization

🎆 A visualization of the CapsNet layers to better understand how it works

capsules-utils

Fully vectorized and interpretable Pytorch implementation of capsule layers (and CapsNet) as described in the NIPS 2017 paper 'Dynamic Routing Between Capsules' by S. Sabour, N. Frosst and G.E. Hinton.