pniroula77 Goto Github PK
Name: Pawan Niroula
Type: User
Bio: An IT Enthusiast, interested in ML and Data-Science.
Location: Birtamode, Jhapa
Name: Pawan Niroula
Type: User
Bio: An IT Enthusiast, interested in ML and Data-Science.
Location: Birtamode, Jhapa
Personal Protective Equipment detection demo showed at AWS re:Inforce 2019: source code and materials.
📚 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!
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
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.
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
A log of things I'm learning
Detects license plate of car and recognizes its characters
A simple Implementation of Multi variate Linear Regression. This analysis provides concepts on Label Encoding and Gradient Descent.
A collection of machine learning examples and tutorials.
Machine Learning datasets for Nepal
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.
Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy
Handwritten Digit Recognition Using Neural Network by Python
An implementation of convolutional networks in NumPy!
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Run a Jupyter Notebook to detect, track, and count cars in a video using PowerAI Vision and OpenCV
Collection of Jupyter Notebooks about Python programming
Python Data Science Handbook: full text in Jupyter Notebooks
Simple examples to introduce PyTorch
PyTorch implementations of Generative Adversarial Networks.
Pretrained Pytorch license plate segmentation model (DeepLabV3 with ResNet-101 backbone)
Minimal tutorials for PyTorch
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.