Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
2018-CS109A
Repository for CS109A Fall 2018
algs4
Algorithms, 4th edition textbook code and libraries
deepdream
DeepSentiment
Apply deep learning to sentiment analysis.
fast-rcnn
Fast R-CNN
Keras-GAN
Keras implementations of Generative Adversarial Networks.
SPP_net
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
THUrachel's Repositories
THUrachel/DeepSentiment
Apply deep learning to sentiment analysis.
THUrachel/10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
THUrachel/2018-CS109A
Repository for CS109A Fall 2018
THUrachel/algs4
Algorithms, 4th edition textbook code and libraries
THUrachel/Keras-GAN
Keras implementations of Generative Adversarial Networks.
THUrachel/caffe
Caffe: a fast open framework for deep learning.
THUrachel/coding-interview-university
A complete computer science study plan to become a software engineer.
THUrachel/cognitive-services-quickstart-code
Code Examples used by the Quickstarts in the Cognitive Services Documentation
THUrachel/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
THUrachel/course-v3
The 3rd edition of course.fast.ai
THUrachel/cs344
Introduction to Parallel Programming class code
THUrachel/deep-learning
personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN
THUrachel/deep-learning-models
Keras code and weights files for popular deep learning models.
THUrachel/deep-residual-networks
Deep Residual Learning for Image Recognition
THUrachel/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
THUrachel/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
THUrachel/fastai
The fast.ai deep learning library, lessons, and tutorials
THUrachel/FCNN-DTT
THUrachel/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
THUrachel/GenSegNet
Generative ConvNet for Image Segmentation
THUrachel/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
THUrachel/hexo-theme-still
A minimal, pure colored hexo theme.
THUrachel/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
THUrachel/knitr-jekyll
A Tufte-style Jekyll blog powered by servr and knitr
THUrachel/ML-breast-cancer-
A machine learning process to distinguish good from bad breast cancer.
THUrachel/models
Models and examples built with TensorFlow
THUrachel/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
THUrachel/tensorflow
Computation using data flow graphs for scalable machine learning
THUrachel/tensorpack
Neural Network Toolbox on TensorFlow
THUrachel/universe
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.