shantanuj

shantanuj's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.9k4571325.7k

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.8k32130696

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.3k40263434

• OFA-Sys/OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  Language:Python2.4k21364248

• KaihuaTang/Scene-Graph-Benchmark.pytorch

  A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

  Language:Jupyter Notebook1.1k17203229

• ashkamath/mdetr

  Language:Python9761997128

• clip-vil/CLIP-ViL

  [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

  Language:Python39993335

• facebookresearch/mvit

  Code Release for MViTv2 on Image Recognition.

  Language:Python392132047

• cvlab-stonybrook/LearningToCountEverything

  Language:Python359134674

• davidmascharka/tbd-nets

  PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

  Language:Jupyter Notebook348151474

• KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch

  A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

  Language:Python29451157

• ucbdrive/skipnet

  Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)

  Language:Python233131248

• Tushar-N/blockdrop

  BlockDrop: Dynamic Inference Paths in Residual Networks

  Language:Python1408440

• soyeonm/FILM

  Official repository of ICLR 2022 paper FILM: Following Instructions in Language with Modular Methods

  Language:Python11432827

• ronghanghu/lcgn

  Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019

  Language:Python944318

• mods333/energy-based-scene-graph

  Code release for Energy-Based Learning for Scene Graph Genertaion

  Language:Jupyter Notebook914911

• SHTUPLUS/PySGG

  The toolkit for scene graph generation

  Language:Jupyter Notebook7342415

• aykutfirat/pyTorchTree

  Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis

  Language:Python614111

• google-deepmind/dm_fast_mapping

  Language:Python54814

• tomerwolgithub/Break

  Language:JavaScript4551011

• daqingliu/NMTree

  Code release for Learning to Assemble Neural Module Tree Networks for Visual Grounding (ICCV 2019)

  Language:Python37275

• CAS-CLab/DGNet

  Dynamic Dual Gating Neural Networks, ICCV 2021

  Language:Python293105

• timqqt/pytorch-zoom-in-network

  Source code for "Efficient Classification of Very Large Images with Tiny Objects"

  Language:Python25249

• ronghanghu/gqa_single_hop_baseline

  A simple but well-performing "single-hop" visual attention model for the GQA dataset

  Language:Python20211

• irwinherrmann/stochastic-gates

  Codebase for "Channel selection using Gumbel Softmax"

  Language:Python19342

• aurooj/WSG-VQA-VLTransformers

  Weakly Supervised Grounding for VQA in Vision-Language Transformers

  Language:Python16252

• AntoineSimoulin/pytree

  Implementation of tree-structured neural networks in PyTorch.

  Language:Python14200

• ceyzaguirre4/DACT-MAC

  Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.

  Language:Python14402

• jingchenchen/ReasoningConsistency-VQA

  Language:Python11191

• manoja328/tallyqacode

  Official Code for "TallyQA: Answering Complex Counting Questions" published at AAAI 2018

  Language:Python7343