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Search results for neural network numpy
neural-network
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numpy
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108 search results found
Pytorch
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74,794
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Data Science Ipython Notebooks
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25,668
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.
Numpy Ml
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14,162
Machine learning, in numpy
Ivy
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13,904
The Unified AI Framework
Effectivetensorflow
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8,646
TensorFlow tutorials and best practices.
Tutorials
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8,562
机器学习相关教程
Chainer
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5,862
A flexible framework of neural networks for deep learning
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Machine_learning_refined
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1,574
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Geneticalgorithmpython
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1,564
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Andrew Ng Notes
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1,367
This is Andrew NG Coursera Handwritten Notes.
Effectivepytorch
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1,321
PyTorch tutorials and best practices.
Ilearndeeplearning.py
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1,291
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Awesome Jax
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1,156
JAX - A curated list of resources https://github.com/google/jax
Phiflow
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1,093
A differentiable PDE solving framework for machine learning
Numpycnn
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531
Building Convolutional Neural Networks From Scratch using NumPy
Gdrl
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422
Grokking Deep Reinforcement Learning
Pytorch Tutorials Examples And Books
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316
PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍
Thesemicolon
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312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Python Neural Network
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278
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
Neural Network From Scratch
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211
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Cython Blis
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204
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Npnet
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151
Build neural networks based only on Numpy
Jpeg2dct
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144
Numpy Cnn
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127
A numpy-only implementation of a Convolutional Neural Network, from the ground up.
Sunstreaker
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126
以jax为后端的类似keras的框架
Neograd
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117
A deep learning framework created from scratch with Python and NumPy
Deep Learning With Pytorch A 60 Minute Blitz Cn
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95
PyTorch1.0 深度学习:60分钟入门与实战(Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习)
Numpyann
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95
Implementation of Artificial Neural Networks using NumPy
Neural Network From Scratch
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91
A Neural Network implemented from scratch (using only numpy) in Python.
Smallpebble
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87
Minimal deep learning library written from scratch in Python, using NumPy/CuPy.
Sketchy Vision
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72
Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!
Pyrates
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68
Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
Theoretical Proof Of Neural Network Model And Implementation Based On Numpy
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66
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。
Pythonic_ocr
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66
A convolutional neural network implemented in pure numpy.
Ml From Scratch
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64
ML From Scratch
Rtorch
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63
PyTorch bindings for R
Assignment2 2017
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59
(Spring 2017) Assignment 2: GPU Executor
Puzzlelib
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57
Deep Learning framework with NVIDIA & AMD support
Python Machine Learning Book 2nd Edition
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54
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Advancedindexing Pytorch
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54
(Batched) advanced indexing for PyTorch.
Machine Learning In Python Workshop
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54
My workshop on machine learning using python language to implement different algorithms
Image Classifier
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53
Final Project of the Udacity AI Programming with Python Nanodegree
Gait Recognition
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44
Distance Recognition of a Human Being with Deep CNN's
Ndscala
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42
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types
Numpy Neuralnet Exercise
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42
Implementation of key concepts of neuralnetwork via numpy
Mpsx
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39
GPU tensor framework with support for running ONNX models
Data Science Regular Bootcamp
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39
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.
Rnn From Scratch
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38
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Neo
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38
Deep learning library in python from scratch
Mobula
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38
A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python
Cs231n
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36
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Pydynet
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36
NumPy实现类PyTorch的动态计算图和神经网络(DNN, CNN, RNN)
Kerasga
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35
Training Keras Models by the Genetic Algorithm using PyGAD
Dbn Cuda
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34
GPU accelerated Deep Belief Network
Tsanley
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33
A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
Aimnet
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31
Atoms In Molecules Neural Network Potential
Nnet
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29
Simple implementation of neural networks in python
Nothingbutnumpy
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28
This repo is part of a series of blog post titled "Nothing but NumPy"
Cnnumpy
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28
A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).
Dnn_from_scratch_py
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28
Hello_nn
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28
Some of my simple neural networks
Simplepythoncnn
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27
Only in native python & numpy with Keras interface
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Batch First
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26
A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
Yplate
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25
License Plate Detection library powered by YOLO v3 and OpenCV with Command Line Interface
Pykitml
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25
Machine Learning library written in Python and NumPy.
Neural Network With Python
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25
A neural network with 3 layers made with just numpy as dependency
Numpy_neural_net
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24
A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy
Flint
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24
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
Pyfunt
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24
Pythonic Deep Learning Framework Inspired by Torch's Neural Network package
Neural Networks
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24
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Numpycnnandroid
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23
Convolutional Neural Network for Android using Kivy and NumPy
Kivyandroidclassification
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21
Image Classification for Android using Artificial Neural Network using NumPy and Kivy.
Mynn
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20
Pure Python/NumPy neural network library extending MyGrad
Shape Recognition
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20
Neural Network to detect 2D shapes
Ocr
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20
Optical character recognition using neural network. Implemented with Python and its libraries Numpy and OpenCV.
Snns In Tensorflow
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20
Implementation of a Spiking Neural Network in Tensorflow.
Weaver
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20
Streamlined neural network training.
Numpynet
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20
Approachable neural net implementation in pure numpy
Compmethods
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18
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Paruluniversityai
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18
Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose
Dnn_from_scratch
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18
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Pytrain
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18
Machine Learning library for python
Deep Learning Study
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18
Nn From Scratch
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17
⭐ Implementation of Neural Networks from Scratch Using Python & Numpy ⭐
Primitiv Python
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17
Python binding of primitiv.
Python Tensorflow Webapp
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16
Emerging Technologies Project - 4th Year 2017
Ml Book
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16
Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"
Tchatbot
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15
A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition
Deeplearning Notebooks
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15
Deep Learning Notebooks Implements by TensorFlow, Python + numpy
Deepbird
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15
DeepBird is a Recurrent Neural Network and automated twitter bot!
Neural Networks
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15
ICDSS Machine Learning Workshop Series: Neural Networks
Pytorch Unattached
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14
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Edunn
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14
Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.
Multi Camera People Tracking
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14
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
Toeffipy
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13
ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.
Neowise
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13
Deep Learning library built from scratch with Python and NumPy
Deep Neural Networks For Baseball
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13
A repository to follow along with Andrew Trask's "Grokking Deep Learning" by modelling baseball statistics using various architectures of neural networks built from scratch.
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