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My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Chess_recognition ⭐ 12

This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.

Pytensor ⭐ 12

A numpy deep learning framework

Numpy Elm ⭐ 12

A Numpy Implementation of Extreme Learning Machine (ELM)

Neuralnets ⭐ 11

🤖 bare-bones implementation of a neural network with numpy

Lenet By Numpy ⭐ 11

The LeNet is realized by Numpy but not by TensorFlow, MXNet, Caffe or other tools. This work is for fundamental research like optimization in neural networks.

Pytortto ⭐ 11

deep learning from scratch. using numpy/cupy, trains in GPU, follows pytorch API

Ai Ni Academy ⭐ 11

This repository is used for teaching and furthering the skills related to the development of Artificial Intelligence, Machine Learning and Deep Learning.

A simple python package for Neural Network based on numpy

Tensorflow 2 Tutorials ⭐ 10

Tensorflow 2.0 tutorials by big data mining lab in Hanyang university ERICA

Snakegame ⭐ 10

A neural networks based snake game

Gradflow ⭐ 10

A small, educational autograd system with deep neural networks support

Bpnn By Numpy ⭐ 10

The Backward Propogation Neural Networks are realized only by Numpy

Sensorcar ⭐ 10

Software for a self-driving car, based on neural networks. An Unity simulation is provided to run the car.

Stock Market Prediction Using Sentiment Analysis ⭐ 10

stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))

Deep Learning Gene Expression ⭐ 10

Deep learning methods for feature selection in gene expression autism data.

Bayesian neural networks using Numpy and Scipy

Numerical Bric A Brac ⭐ 10

Numerical Methods with Python, Numpy and Matplotlib

Dali Cython ⭐ 9

🍭 Dali in Python

Ddpg_numpy_only ⭐ 9

Implemenation of DDPG with numpy only (without Tensorflow)

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Random Erasing Tensorflow ⭐ 8

A complete Tensorflow implementation of cutout random erasing (without numpy)

Digit Recognition ⭐ 8

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

Bits F312 ⭐ 8

Neural Networks and Fuzzy Logic - BITS Goa

🔧 Crawling the history of deep learning with Python.

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

🎓 Minimal neural networks library developed for educational purposes

Deep Neural Network implemented with numpy

Pytorch Super Resolution Implementations ⭐ 8

Image super-resolution implementations

A Minimalist Machine Learning Library written in Swift

Neural network from scratch in Python using Numpy

Cheatsheets ⭐ 7

Here you find CheatSheets for Data Science Topics

Deeplearning.ai Coursera ⭐ 7

This repository contains programming assignments and research paper refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.

Simplepythonrnn ⭐ 7

Only in native python & numpy

Power Of A Neuron ⭐ 7

Cats vs Dogs Image Classification using Logistic Regression

Fully Connected Nn ⭐ 7

The fully connected neural network implemented in Numpy, from scratch, in Tensorflow and in Keras. The bonus code: Implementation of many different activation functions, in python, weight inits.

Neural Network Using Numpy ⭐ 7

3 level Neural network in Python using just numpy

Time Series Forecasting Using Machine Learning Algorithm ⭐ 7

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Bipedalwalker V2 ⭐ 7

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Stanford cs231n (HKUST COMP4901J Fall 2018 Deep Learning in Computer Vision) Assignment Repository

Neural Networks From Scratch ⭐ 7

Building neural networks with NumPy

Numpy_cnn ⭐ 7

Implement Neural Network only with Numpy

Neuralnets Pure Python ⭐ 7

Nice place to start seeing matrices shapes ! Great place for beginners to understand neural networks computation

Simple Neural Nets ⭐ 6

Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.

Doc Builder ⭐ 6

Simple Documentation Builder for Ivy Projects.

Ninaprocnn ⭐ 6

Convolutional Neural Networks On Ninapro datasets

Deep Learning For Data Science ⭐ 6

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

Cheatsheets ⭐ 6

This repo contains all the cheatsheets that I found Important.

Alternate Reality ⭐ 6

Recurrent Neural Networks will allow me to sample new text (essays, poems, emails) that I would have hypothetically written in New York given my four years of corpus literature as training data

Artificial Intelligence Real Life Problem And Solutions ⭐ 6

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

Automatic differentiation deep neural network framework.

Neural Networks In Numpy ⭐ 5

How define, train and use a neural network using only numpy.

Large-scale Data Analysis supplementary material.

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

Hurricane Wind Speed Cnn ⭐ 5

A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

Digit Classification Using Numpy ⭐ 5

MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy

Neural Network In Python Using Numpy ⭐ 5

This is the implementation of a fully customizable neural network with arbitrary no. of hidden layers using only Numpy and no other builtin library in Python.

Deepneuralnetworksfromscratch ⭐ 5

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

Grokking Deep Learning Notebooks ⭐ 5

Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask

Machine Learning Python Bootcamp ⭐ 5

Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco

Official code repository for the work: "Duodepth: Static Gesture Recognition Via Dual Depth Sensors"

Step By Step Neural Network ⭐ 5

step-by-step, implement a neural network with python and numpy to recognize handwritten number

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