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Pawan Niroula's Projects

basics icon basics

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

cs228-material icon cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

deep-reinforcement-stock-trading icon deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

linear-regression icon linear-regression

A simple Implementation of Multi variate Linear Regression. This analysis provides concepts on Label Encoding and Gradient Descent.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nsp-bert icon nsp-bert

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

powerai-counting-cars icon powerai-counting-cars

Run a Jupyter Notebook to detect, track, and count cars in a video using PowerAI Vision and OpenCV

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-mnist-celeba-gan-dcgan icon pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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