enes3774

enes3774's Stars

• aniskoubaa/rosgpt

  ROSGPT is a pioneering approach that combines the power of ChatGPT and ROS (Robot Operating System) to redefine human-robot interaction. By leveraging large language models like ChatGPT, ROSGPT enables the conversion of unstructured human language into actionable robotic commands. T

  Language:Python29966

• naver/deep-image-retrieval

  End-to-end learning of deep visual representations for image retrieval

  Language:Python637101

• lukasHoel/3rscan-triplet-dataset-toolkit

  Triplet Dataset Toolkit for the 3RScan Dataset

  Language:Jupyter Notebook81

• Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020

  This is the source code of the 3rd place to [Kaggle Google Landmark Retrieval 2020]

  Language:Python218

• bestfitting/instance_level_recognition

  The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition

  Language:Python15134

• ChristofHenkel/kaggle-landmark-2021-1st-place

  Language:Jupyter Notebook33441

• kumar-shubham-ml/5th-Place-Solution-to-Google-Landmark-Retrieval-2021

  Language:Jupyter Notebook63

• ducha-aiki/manifold-diffusion

  Diffusion on manifolds for image retrieval

  Language:Python12623

• PyRetri/PyRetri

  Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

  Language:Python1.2k178

• filipradenovic/cnnimageretrieval-pytorch

  CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

  Language:Python1.4k320

• haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution

  Language:Jupyter Notebook14424

• nyukat/BIRADS_classifier

  High-resolution breast cancer screening with multi-view deep convolutional neural networks

  Language:Python14858

• nyukat/breast_cancer_classifier

  Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

  Language:Jupyter Notebook835265

• idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

  Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

  Language:Python27156

• silverwhere/Self-Driving-Car-Nanodegree---Udacity

  Self Driving Car Nanodegree Offered By Udacity

  Language:C++3510

• Xharlie/pointnerf

  Point-NeRF: Point-based Neural Radiance Fields

  Language:Python1.1k125

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python36.9k3.2k

• yumingj/Text2Human

  Code for Text2Human (SIGGRAPH 2022). Paper: Text2Human: Text-Driven Controllable Human Image Generation

  Language:Python82190

• ELS-RD/kernl

  Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

  Language:Jupyter Notebook1.5k93

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9k1.4k

• 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:Python2.4k248

• NasirKhalid24/CLIP-Mesh-SMPLX

  CLIP + Mesh + SMPL-X

  Language:Python9613

• NasirKhalid24/CLIP-Mesh

  Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

  Language:Python42137

• amirbar/visual_prompting

  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".

  Language:Jupyter Notebook29420

• enes3774/NeGoruyorsun

  Resimlerin Türkçe tasvirlerini yapan transformer model

  Language:Python81

• DeepGraphLearning/LiteratureDL4Graph

  A comprehensive collection of recent papers on graph deep learning

  3.1k563

• yavuzKomecoglu/turkish-stemmer-python

  :snake: Turkish Language Stemmer for Python

  12

• JudyYe/ihoi

  Language:Jupyter Notebook11312

• halixness/understanding-CLIP

  Repo from the "Learning with limited labeled data" seminar @ Uni of Tuebingen. A collection of notes, notebooks and slideshows to understand CLIP and Natural language supervision.

  Language:Jupyter Notebook154

• microsoft/UniVL

  An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"

  Language:Python33654