DaehongKim1

DaehongKim1's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k1k1.1k9.6k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.3k4403.3k7k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k951362.1k

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k272514759

• hmmlearn/hmmlearn

  Hidden Markov Models in Python, with scikit-learn like API

  Language:Python3.1k122440739

• awjuliani/DeepRL-Agents

  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

  Language:Jupyter Notebook2.2k11967826

• golbin/TensorFlow-Tutorials

  텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

  Language:Python2.1k24748996

• lakshayg/tensorflow-build-archived

  TensorFlow binaries supporting AVX, FMA, SSE

  Language:Shell1.9k9355222

• zhoubolei/CAM

  Class Activation Mapping

  Language:MATLAB1.8k4652467

• autonomio/talos

  Hyperparameter Experiments with TensorFlow and Keras

  Language:Python1.6k27401268

• sjchoi86/dl_tutorials

  Deep learning tutorials (2nd ed.)

  1.5k1321397

• pkmital/CADL

  ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

  Language:Jupyter Notebook1.5k11737732

• akamaster/pytorch_resnet_cifar10

  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

  Language:Python1.2k534333

• larsmans/seqlearn

  Sequence learning toolkit for Python

  Language:Python6904028101

• hwalsuklee/tensorflow-mnist-VAE

  Tensorflow implementation of variational auto-encoder for MNIST

  Language:Python494186182

• ratsgo/embedding

  한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

  Language:Python45410135130

• rlcode/reinforcement-learning-kr

  [파이썬과 케라스로 배우는 강화학습] 예제

  Language:Python3753442228

• chengyangfu/pytorch-vgg-cifar10

  This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

  Language:Jupyter Notebook345712116

• ucbdrive/skipnet

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

  Language:Python236131248

• aailabkaist/Introduction-to-Artificial-Intelligence-Machine-Learning

  Apache 2.0 License

  Language:Jupyter Notebook1488072

• rickiepark/first-steps-with-tensorflow

  도서 '텐서플로 첫걸음'의 예제 주피터 노트북입니다.

  Language:Jupyter Notebook10918081

• gastonstat/arcdiagram

  R package arcdiagram

  Language:R77111038

• jramapuram/CVAE

  Convolutional Variational Autoencoder

  Language:Python343113

• junkwhinger/grad_cam

  Language:Jupyter Notebook25314

• mingukkang/VAE-tensorflow

  Code for Variational AutoEncoder(VAE) using tensorflow

  Language:Python175011

• taku-y/pymc3

  Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.

  Language:Python12206

• DaehongKim1/bhtsne

  Barnes-Hut t-SNE

  Language:C++1100

• DaehongKim1/ratsgo.github.io

  NLP blog

  Language:CSS1100

• DaehongKim1/t-SNE-tutorial

  A tutorial on the t-SNE learning algorithm

  Language:JavaScript1100

• DaehongKim1/tsnejs

  Implementation of t-SNE visualization algorithm in Javascript.

  Language:JavaScript1100