Amir-Arsalan

Amir-Arsalan's Stars

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.3k1403371.4k

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.2k74238593

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3k18132525

• taesungp/contrastive-unpaired-translation

  Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

  Language:Python2.1k35171409

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python1.9k39190501

• vsitzmann/siren

  Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

  Language:Python1.7k3658245

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.5k3476193

• gradslam/gradslam

  gradslam is an open source differentiable dense SLAM library for PyTorch

  Language:Python1.3k4738154

• NVlabs/nvdiffrast

  Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

  Language:C++1.3k25183136

• NVlabs/NVAE

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

  Language:Python9891746160

• GaParmar/clean-fid

  PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

  Language:Python88994866

• teddykoker/torchsort

  Fast, differentiable sorting and ranking in PyTorch

  Language:Python75086133

• yuki-koyama/blender-cli-rendering

  Blender Python scripts for rendering images directly from command-line interface

  Language:Python7292128107

• MilesCranmer/symbolic_deep_learning

  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

  Language:Python695287131

• pallada-92/dna-3d-engine

  3d engine implementation in DNA code!

  54415426

• dalmia/siren

  PyTorch implementation of Sinusodial Representation networks (SIREN)

  Language:Python2598211

• otaheri/GrabNet

  GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

  Language:Python221132329

• ramanans1/plan2explore

  Repository for the paper "Planning to Explore via Self-Supervised World Models"

  Language:Python21114428

• devendrachaplot/Neural-Localization

  Train an RL agent to localize actively (PyTorch)

  Language:Python20914340

• wpeebles/hessian_penalty

  Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)

  Language:Python20712321

• chail/latent-composition

  Language:Python17210810

• hyperplane-lab/Generative-3D-Part-Assembly

  Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

  Language:Python160112212

• uci-rendering/psdr-cuda

  Path-space differentiable renderer

  Language:C++15183411

• torrvision/focal_calibration

  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

  Language:Jupyter Notebook1458825

• jbakermans/torch_tem

  Implementation of the Tolman Eichenbaum Machine in pytorch

  Language:Python1332441

• ParthaEth/Regularized_autoencoders-RAE-

  Language:Python1194314

• matpalm/procedural_objects

  blender based random procedural object generation for bullet grasping

  Language:Python39308

• jazlab/moog.github.io

  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.

  Language:Python33415

• tk-rusch/unicornn

  Official code for UnICORNN (ICML 2021)

  Language:Python27233

• insperatum/strawberry-rats

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