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Search results for deep learning numpy
deep-learning
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numpy
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250 search results found
Pytorch
⭐
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.
Datasets
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18,390
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Ivy
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13,904
The Unified AI Framework
Cheatsheets Ai
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13,281
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat
Numerical Linear Algebra
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9,850
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Effectivetensorflow
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8,646
TensorFlow tutorials and best practices.
Ai Learn
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8,256
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Trax
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7,818
Trax — Deep Learning with Clear Code and Speed
Einops
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7,548
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Chainer
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5,862
A flexible framework of neural networks for deep learning
Megengine
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4,711
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Deep Learning From Scratch
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3,728
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
God Level Data Science Ml Full Stack
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3,384
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Gluon Nlp
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2,457
NLP made easy
Deeplearning
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2,347
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Captcha_break
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1,677
验证码识别
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
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
Keract
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1,030
Layers Outputs and Gradients in Keras. Made easy.
Machinelearning
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1,029
Machine learning algorithms implemented by pure numpy
Kymatio
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691
Wavelet scattering transforms in Python with GPU acceleration
Deep Learning Wizard
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664
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Tensor Sensor
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634
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Get Started With Jax
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487
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Deep Learning From Scratch 3
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426
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Gdrl
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422
Grokking Deep Reinforcement Learning
Deep Belief Network
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401
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Carefree Learn
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400
Deep Learning ❤️ PyTorch
Dlfs_code
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373
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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.
Deeplearning Cv Notes
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291
📓 deepleaning and cv notes.
Xshinnosuke
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282
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Mydeeplearning
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268
A deep learning library to provide algs in pure Numpy or Tensorflow.
Block
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260
An intelligent block matrix library for numpy, PyTorch, and beyond.
Pysurvival
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214
Open source package for Survival Analysis modeling
Introduction_to_ml_with_python
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198
도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.
Machine Learning
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196
从零基础开始机器学习之旅
Observations
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182
Tools for loading standard data sets in machine learning
Numsca
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179
numsca is numpy for scala
Di Treetensor
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169
Let DI-treetensor help you simplify the structure processing!(树形运算一不小心就逻辑混乱?DI-treetensor快速帮你搞定)
Tsalib
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169
Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
Mygrad
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166
Drop-in autodiff for NumPy.
Mobulaop
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162
A Simple & Flexible Cross Framework Operators Toolkit
100_days_mldl
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161
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)
Odak
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149
Scientific computing library for optics, computer graphics and visual perception
Rnn_lstm_from_scratch
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142
How to build RNNs and LSTMs from scratch with NumPy.
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
Brainforge
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111
A Neural Networking library based on NumPy only
Tfg Voice Conversion
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109
Deep Learning-based Voice Conversion system
Stock Price Predictor
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107
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Autoray
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106
Abstract your array operations.
Books
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106
Books related to AI/ML/DL/GENAI
Numpyann
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95
Implementation of Artificial Neural Networks using 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)
Pybboxes
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95
Light weight toolkit for bounding boxes providing conversion between bounding box types and simple computations.
Deep Surveillance Monitor Facial Emotion Age Gender Recognition System
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92
Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam
Symjax
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90
Documentation:
Data Science Machine Learning
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88
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
Smallpebble
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87
Minimal deep learning library written from scratch in Python, using NumPy/CuPy.
Data Science Notebooks
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86
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.
Mindwave
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86
MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
Awesome Ebooks
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81
收录开源的经典技术书籍 PDF 文件及相关网站,持续更新中...
Poincare_embeddings
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80
NumPy implementation of Poincaré Embeddings for Learning Hierarchical Representations (Facebook Research)
Nd101
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79
记录自己深度学习之路的点滴
Flatiron School Data Science Curriculum Resources
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75
Lesson material on data science and machine learning topics/concepts
Docker Python Deep Learning
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74
A container for Deep Learning with Python 3
Dareblopy
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74
Data Reading Blocks for Python
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!
Data Science Introduction With Python
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70
Python 数据科学导论 | Data Science Introduction with Python
One_cycle_policy
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70
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Dicom_rt_and_images_to_mask
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70
Various utilities created to help with the interpretation of DICOM images and DICOM RT Structures to NumPy masks and Simple-ITK handles/Nifti images. Some necessary steps for deep learning
Vision
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69
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.
Pydiogment
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68
📣 Python library for audio augmentation
Ctensor
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65
A super light-weight deep learning library based on NumPy in PyTorch fashion.
Ml From Scratch
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64
ML From Scratch
R Cnn_light
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64
Regional-Convolution Neural Network for blink detection based on contouring.
Rtorch
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63
PyTorch bindings for R
Hypertune
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60
A library for performing hyperparameter optimization
Lovely Numpy
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60
NumPy arrays, ready for human consumption
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
Gym
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55
Fully differentiable RL environments, written in Ivy.
Machine Learning In Python Workshop
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54
My workshop on machine learning using python language to implement different algorithms
Python Machine Learning Book 2nd Edition
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54
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Python_cv_ai_ml
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54
用python做计算机视觉,人工智能,机器学习,深度学习等
Image Classifier
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53
Final Project of the Udacity AI Programming with Python Nanodegree
Dockerdl
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52
Deep Learning Docker Image
Robot
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51
Functions and classes for gradient-based robot motion planning, written in Ivy.
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