daisysnow

daisysnow's Stars

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.3k2.6k

• opendp/smartnoise-samples

  Code samples and documentation for SmartNoise differential privacy tools

  Language:Jupyter Notebook13249

• opendp/smartnoise-sdk

  Tools and service for differentially private processing of tabular and relational data

  Language:Python24464

• joshua-oss/differentially-private-set-union

  Language:Python2

• kevinlin311tw/caffe-cvprw15

  :heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

  Language:C++526218

• HanXiaoyang/image_retrieval

  Image retrieval system demo based on caffe and lsh

  Language:Jupyter Notebook7345

• hangyan/Code

  code snippets

  Language:Common Lisp1010

• hjaurum/DHash

  Comparing images with dHash algorithm.

  Language:Python16778

• realpython/image-fingerprinting

  Language:Python12868

• JohannesBuchner/imagehash

  A Python Perceptual Image Hashing Module

  Language:Python3.1k328

• kayzhu/LSHash

  A fast Python implementation of locality sensitive hashing.

  Language:Python660158

• willard-yuan/hashing-baseline-for-image-retrieval

  :octocat:Various hashing methods for image retrieval and serves as the baselines

  Language:MATLAB613254

• paarthneekhara/neural-vqa-tensorflow

  Visual Question Answering in Tensorflow.

  Language:Python23171

• chapternewscu/text_conditional-semantic-attention

  Language:Jupyter Notebook31

• karpathy/neuraltalk

  NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

  Language:Python5.4k1.3k

• karpathy/neuraltalk2

  Efficient Image Captioning code in Torch, runs on GPU

  Language:Jupyter Notebook5.5k1.3k

• LisaAnne/DCC

  Implementation of CVPR 2016 paper

  Language:Jupyter Notebook7625

• vsubhashini/noc

  Novel Object Captioner - Captioning Images with diverse objects

  Language:C++4124

• jcjohnson/densecap

  Dense image captioning in Torch

  Language:Jupyter Notebook1.6k430

• abhi-kumar/Caffe-Python-Basic-Tutorial

  Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.

  Language:Python6014

• keras-team/keras

  Deep Learning for humans

  Language:Python61.7k19.4k

• zhoubolei/VQAbaseline

  Simple Baseline for Visual Question Answering

  Language:Lua18636

• HyeonwooNoh/DPPnet

  DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

  Language:Lua9545

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1.8k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k45.8k

• wenxinxu/resnet-in-tensorflow

  Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

  Language:Python826276

• chingyaoc/VQG-tensorflow

  Visual Question Generation in Tensorflow

  Language:Python6928

• nyu-dl/dl4ir-searchQA

  Language:HTML17918

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.5k6k

• dennybritz/cnn-text-classification-tf

  Convolutional Neural Network for Text Classification in Tensorflow

  Language:Python5.6k2.8k