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Chinmay Rane's Projects

applied-ml icon applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-public-datasets icon awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data โ˜›โ˜›โ˜›PRโ˜›โ˜›โ˜›

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

calculator icon calculator

A Simple Calculator with basic Arithmatic operations and other utilities

chatcomm icon chatcomm

Mobile-Chatting Application , You can send and accept incoming requests , Helps in growing your network through communication with users.

co-learning-lounge icon co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

cognitive-speech-tts icon cognitive-speech-tts

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

diamonds-in-depth-analysis icon diamonds-in-depth-analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

e2e-ml-app-pytorch icon e2e-ml-app-pytorch

๐Ÿš€ An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku โ†’ https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).

emojibops icon emojibops

EmojiBops is a listing of songs depicted through emojis. Perfect practice for your first open source pull request!

fashion-mnist-accuracy-93.4- icon fashion-mnist-accuracy-93.4-

Fashion-MNIST is a dataset of Zalando's article imagesโ€”consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. I trained Convolutional Neural Networks over the training data and achieved Validation Accuracy of 93% and Test Accuracy 93.4%

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