Sourabh Dhere's starred repositories
tensorflow
An Open Source Machine Learning Framework for Everyone
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn
scikit-learn: machine learning in Python
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
predictionio
PredictionIO, a machine learning server for developers and ML engineers.
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
DiscoGAN-pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Eigentechno
Principal Component Analysis on music loops
tf-idf-similarity
Ruby gem to calculate the similarity between texts using tf*idf
TF-Tutorials
A collection of deep learning tutorials using Tensorflow and Python
oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
MultiAgentTORCS
The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.