dips4717

dips4717's Stars

• whittlem/pycryptobot

  Python Crypto Bot (PyCryptoBot)

  Language:Python2k741

• ktrk115/const_layout

  Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)

  Language:Python13827

• ManyiLi12345/GRAINS

  GRAINS: Generative Recursive Autoencoders for INdoor Scenes

  Language:MATLAB7622

• Layout-Generation/layout-generation

  Layout Generation and Baseline implementations

  Language:Jupyter Notebook14223

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python3.4k1.3k

• sylinrl/TruthfulQA

  TruthfulQA: Measuring How Models Imitate Human Falsehoods

  Language:Jupyter Notebook61070

• lucidrains/lambda-networks

  Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

  Language:Python1.5k157

• wlhsiao/Mallet

  MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

  Language:Java114

• rosinality/stylegan2-pytorch

  Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

  Language:Python2.7k623

• openai/DALL-E

  PyTorch package for the discrete VAE used for DALL·E.

  Language:Python10.8k1.9k

• TACJu/TransFG

  This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

  Language:Python38890

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k8.7k

• llcing/VGG_dml

  To use pytorch 0.4 for DML , I transfer to VGG (with network modified to torch0.4)

  Language:Python18

• jcjohnson/simple-amt

  A microframework for working with Amazon's Mechanical Turk

  Language:Python29080

• HobbitLong/SupContrast

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

  Language:Python3.1k534

• tanc-ahrc/deep-discoveries-backend

  TBC

  Language:Python1

• tanc-ahrc/deep-discoveries-frontend

  TBC

  Language:JavaScript2

• tanc-ahrc/DeepDiscoveries

  Exploring the use of 'visual search' for heritage collections. Visual search is an AI-based method for matching images based on visual characteristics (colour, pattern, shape), rather than a keyword description.

  Language:PHP4

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.5k1.6k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k641

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python20.5k3k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.5k350

• KevinMusgrave/powerful-benchmarker

  A library for ML benchmarking. It's powerful.

  Language:Jupyter Notebook42944

• bnu-wangxun/Deep_Metric

  Deep Metric Learning

  Language:Python778148

• filipradenovic/cnnimageretrieval-pytorch

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

  Language:Python1.4k323

• haltakov/natural-language-image-search

  Search photos on Unsplash using natural language

  Language:Jupyter Notebook983105

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python887137

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k658

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python9.9k969

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.2k4.8k