https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks
https://github.com/tejasvi541/machine-learning

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: about 1 month ago
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My Machine and Deep Learning Practice and Projects Notebooks

• Host: GitHub
• URL: https://github.com/tejasvi541/machine-learning
• Owner: tejasvi541
• License: mit
• Created: 2021-04-15T07:49:06.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-25T06:15:19.000Z (almost 4 years ago)
• Last Synced: 2024-11-13T13:52:54.365Z (3 months ago)
• Topics: matplotlib, numpy, python3, pytorch, sklearn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 33.4 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Machine-Learning Notebooks Directory

## ~ Number of Notebooks - `7`

### 1. [Anime Face Creation](https://github.com/tejasvi541/Machine-Learning/blob/main/AnimeFacesGAN.ipynb)

- Creating fake anime cases using GAN

- Dataset used is from this [Kaggle](https://www.kaggle.com/splcher/animefacedataset) Link

- Model Creation and Training is done using `Pytorch`

### 2. [Flower Classification](https://github.com/tejasvi541/Machine-Learning/blob/main/FlowersClassification.ipynb)

- Dataset used is from this [Kaggle](https://www.kaggle.com/alxmamaev/flowers-recognition) Link

- Classification is done using ResNet9 Model built using `Pytorch`

### 3. [DCGAN](https://github.com/tejasvi541/Machine-Learning/blob/main/DCGAN.ipynb)

- Dataset used is from Builtin MNIST DataSet in Pytorch

- Model Creation and Training is done using `Pytorch`

- [Paper Link](https://arxiv.org/abs/1511.06434)

### 4. [Creative AI (Deep Dream)](https://github.com/tejasvi541/Machine-Learning/blob/main/CreactiveAI.ipynb)

- Built this notebook with the help of a [Udemy Course](https://www.udemy.com/course/modern-artificial-intelligence-applications/learn/lecture/21217938?start=285#overview)

- Model Creation and Training is done using `Tensorflow`

- [Author's Notebook](https://colab.research.google.com/drive/1sZER1_Q8WJFzdD3ZgfjZcRXTVhriCHaj?usp=sharing)

### 5. [CNN Architectures](https://github.com/tejasvi541/Machine-Learning/blob/main/CNN_Architectures.ipynb)

- Major CNN Architectures implemented

  - LeNet

  - VGG16

  - GoogleNet (Inception Net)

  - ResNet 

- Model Creation and Training is done using `Pytorch`

- All the Research Papers are provided in the notebook itself

- Code is inspired & Written with the help of [Aladdin Persson](https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ) Youtube videos

### 6. [Breast Cancer Prediction](https://github.com/tejasvi541/Machine-Learning/blob/main/BreastCancerPredictions.ipynb) 

- Dataset used is from Builtin Breast Cancer DataSet in Sklearn

- Model Creation and Training is done using `Scikit-Learn`

### 7. [CIFAR10 Classification](https://github.com/tejasvi541/Machine-Learning/blob/main/CIFAR10Example.ipynb)

- Dataset used is from Builtin CIFAR10 DataSet in Pytorch

- Model Creation and Training is done using `Pytorch`