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Tensorflow Tutorial ⭐ 3,873

Tensorflow tutorial from basic to hard

Cppnumericalsolvers ⭐ 766

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Hands On Deep Learning Algorithms With Python ⭐ 241

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Learning To Learn ⭐ 84

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

Variational Inference in Gaussian Mixture Model

Miniflow ⭐ 19

Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Tensorflow implementation of Stein Variational Gradient Descent (SVGD)

Tf_optimizers ⭐ 13

Optimizers in tensorflow from scratch

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

Fun Python ⭐ 11

Some scripts i had fun creating, to learn the basics of python

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

Implementation of Stein Variational Gradient Descent with TensorFlow 2.0

Differentiable Programming Handbook ⭐ 6

Differentiable implementation of common computer science algorithms

Supervised Snn With Gd ⭐ 5

A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The chain rule proved mathematically that it is sufficient to update the SNN’s synaptic weights by directly using an optimizer. Utilizing the TensorFlow framework, a bilayer supervised learning SNN is constructed from scratch. We take the lead in the application of SAR image classification and conduct

Dpsgd Optimizer ⭐ 5

Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.

Bayesian Gradient Descent Algorithm Model for TensorFlow

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