maheshcgi's Stars
markdtw/awesome-architecture-search
A curated list of awesome architecture search resources
tensorflow/privacy
Library for training machine learning models with privacy for training data
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
melodyguan/enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
fediazgon/pbt-keras
Population Based Training of Neural Network implemented in Keras
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
IlievskiV/Master_Thesis_GO_Chatbots
GANs-in-Action/gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
omoindrot/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
imatge-upc/detection-2016-nipsws
Hierarchical Object Detection with Deep Reinforcement Learning
asanakoy/kaggle_carvana_segmentation
Code for the 1st place model in Carvana Image Masking Challenge
PAIR-code/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
llSourcell/Move_37_Syllabus
This is the syllabus for "Move 37", Siraj Raval's new course at School of AI
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
maxpumperla/deep_learning_and_the_game_of_go
Code and other material for the book "Deep Learning and the Game of Go"
xslittlegrass/CarND-Vehicle-Detection
Vehicle detection using YOLO in Keras runs at 21FPS
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
google-deepmind/sonnet
TensorFlow-based neural network library
localminimum/R-net
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
titu1994/keras-neural-alu
A Keras implementation of Neural Arithmatic and Logical Unit
bharathgs/NALU
Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
udacity/self-driving-car
The Udacity open source self-driving car project
alexstaravoitau/behavioral-cloning
Behavioral cloning: end-to-end learning for self-driving cars.