Pinned Repositories
airbus_ship_detection
The Airbus ship detection Kaggle challenge personal attempt
akka
learn akka
algorithms_in_ipython_notebooks
A repository with IPython notebooks of algorithms implemented in Python.
amazon-ai-building-better-bots
Code samples related to Building Better Bots published on the AI Blog
amazon-comprehend-workshop
Labs for Amazon Comprehend
amazon-forecast-workshop
Amazon Forecast Workshop
coursera-data-science-capstone
Code for coursera data science capstone project
datasciencecoursera
Contains various repos of John Hopkins University Data Science Specialization courses, contains end to end details of Machine Learning projects coded in R.
mlnd
Contains assignments of Udacity Machine Learning Nanodegree course projects. All end to end projects of Supervised Learning, Unsupervised Learning, Reinforcement Learning and Deep Learning projects coded in Python.
NaiveBayesClassifier
Implementation of Normal and Bernoulli Naive Bayes Classifier, test with pima-indian-diabetes and MNIST dataset and comparison with sklearn Naive Bayes implementation
sriharshams's Repositories
sriharshams/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
sriharshams/fsdl-text-recognizer-project
sriharshams/intro_to_tensor_flow_2_0_Udacity
Intro to Tensorflow 2.o
sriharshams/Keras-GAN
Keras implementations of Generative Adversarial Networks.
sriharshams/cs498aml
Spring 2019 cs498aml assignments
sriharshams/AnalyzeChapsticLength
sriharshams/deepaugment
Discover better augmentation strategies for your dataset
sriharshams/data_synthesis
This project will be to develop GAN-based-methods to help synthesize rare business data.
sriharshams/focal
Auto privacy for video conferencing using deep learning
sriharshams/test-git
sriharshams/TGAN
Generative adversarial training for synthesizing tabular data
sriharshams/Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
sriharshams/NaiveBayesClassifier
Implementation of Normal and Bernoulli Naive Bayes Classifier, test with pima-indian-diabetes and MNIST dataset and comparison with sklearn Naive Bayes implementation
sriharshams/rot-inv-conv
Towards a rotationally invariant convolutional layer
sriharshams/tableGAN
sriharshams/ganhacks
starter from "How to Train a GAN?" at NIPS2016
sriharshams/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
sriharshams/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
sriharshams/mlcourse.ai
Open Machine Learning Course
sriharshams/airbus_ship_detection
The Airbus ship detection Kaggle challenge personal attempt
sriharshams/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
sriharshams/fastai
The fast.ai deep learning library, lessons, and tutorials
sriharshams/commodity-price-analysis
Analyze commodity price from investing.com
sriharshams/fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
sriharshams/mlnd
Contains assignments of Udacity Machine Learning Nanodegree course projects. All end to end projects of Supervised Learning, Unsupervised Learning, Reinforcement Learning and Deep Learning projects coded in Python.
sriharshams/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sriharshams/GANs_for_Credit_Card_Data
sriharshams/awesome-rl
Reinforcement learning resources curated
sriharshams/mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
sriharshams/algorithms_in_ipython_notebooks
A repository with IPython notebooks of algorithms implemented in Python.