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[NeurIPS 2023] Mip-Grid: Anti-aliased Grid Representation for Neural Radiance Fields

A simple and efficient Mamba implementation in pure PyTorch and MLX.

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

[NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

QLoRA: Efficient Finetuning of Quantized LLMs

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

[CVPR 2023] Code for PConv and FasterNet

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[CVPR2023] "SMPConv: Self-moving Point Representations for Continuous Convolution"

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

[ICCV23] BallGAN: 3D-aware Image Synthesis with a Spherical Background

[NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Jihyeong Ko et al., Contrastive Learning for Topic-Dependent Image Ranking, 2022

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

Source code of "Streamable Neural Fields"

Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.net/forum?id=3jooF27-0Wy

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies