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MANISH KUMAR's Projects

applied-ml- icon applied-ml-

📚 Papers & Tech Blogs by companies sharing their work on data science & machine learning in production.

cnn-application-for-dog-breed-identification icon cnn-application-for-dog-breed-identification

At the end of this project, your code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

collaboration-and-competition icon collaboration-and-competition

For this project, we will work with the Tennis environment and solve it using RLdeep learning based models for multi-agent continuous controls and actions.

continuous-control icon continuous-control

For this project, we will work with the Reacher environment and solve it using RL models for continuous actions/controls.

creating-a-sentiment-analysis-web-app icon creating-a-sentiment-analysis-web-app

Our goal will be to have a simple web page which a user can use to enter a movie review. The web page will then send the review off to our deployed model which will predict the sentiment of the entered review.

data-science-bikeshare-project. icon data-science-bikeshare-project.

In this project, we'll make use of Python to explore data related to bike share systems for three major cities - Chicago, New York City and Washington. We ll have to code to import the data and answer interesting questions about it by computing descriptive statistics. We will also write a script that takes in raw input to create an interactive experience in the terminal

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

developing-an-ai-application icon developing-an-ai-application

In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application. We'll be using this dataset of 102 flower categories.

dnn-speech-recognizer icon dnn-speech-recognizer

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

gan--face-generation icon gan--face-generation

In this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!

machine_learning_complete icon machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

ml-projectkart icon ml-projectkart

Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

nlp-machine-translation icon nlp-machine-translation

This project contains a notebook machine_translation.ipynb for the implementation of a deep neural network for an end-to-end machine translation pipeline for an English to French translation.

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