shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Deep Reinforcement Learning based Trading Agent for Bitcoin
In-depth tutorials for implementing deep learning models on your own with PyTorch.
DeepVis Toolbox
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
make Ascii Art by Deep Learing
A deep neural network for face alignment
Build a deep autoencoder. Acoustically monitor the influence of the middle code layer using a Kork nanoKontroller2.
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
Bayesian methods in deep learning Summer School
Practical assignments of the Deep|Bayes summer school 2019
Experimentations on beers recsys using Keras
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Deep Clustering for Unsupervised Learning of Visual Features
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Automatic coloring and shading of manga-style lineart, using Tensorflow + cGANs
Easing non-convex optimization with neural networks.
A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
Deep neural networks for predicting CpG methylation
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A step-by-step problem set for implementing a high-quality deep dependency parser in Pytorch
Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"
Neural network to convert a sketch into a face.
Notebook example of how to generate class visualizations with Caffe
Torch version for https://github.com/google/deepdream
A Unet based deeplearning model to line/box/spurious artifacts from text images. Unsupervised training.
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.