arpit620's Stars
Delgan/loguru
Python logging made (stupidly) simple
coder/code-server
VS Code in the browser
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
ets-labs/python-dependency-injector
Dependency injection framework for Python
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
zhuoshaohere/lstm_predict
mikigraf/Keras-Transfer-Learning-Tutorial
Workshop on using transfer learning for image classification tasks. Presented at DO!Hack 2017
taehoonlee/tensornets
High level network definitions with pre-trained weights in TensorFlow
ml4a/ml4a-ofx
A collection of openFrameworks apps for working with machine learning
Apress/numerical-python
Source code for 'Numerical Python' by Robert Johansson
dipanjanS/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
conan7882/CNN-Visualization
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
geifmany/cifar-vgg
VGG16 models for CIFAR-10 and CIFAR-100 using Keras
TheAlgorithms/Python
All Algorithms implemented in Python
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
cysmith/neural-style-tf
TensorFlow (Python API) implementation of Neural Style
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
profjsb/python-seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
flyyufelix/cnn_finetune
Fine-tune CNN in Keras
zhr01/Oxford-flowers
image classification, bottle-neck, fine-tune
Hvass-Labs/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
rfeinman/detecting-adversarial-samples
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
anujshah1003/Transfer-Learning-in-keras---custom-data
Implementing Transfer Learning for custom data using VGG-16 and Resnet-50
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Pierian-Data/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
PacktPublishing/Deep-Learning-Quick-Reference
Deep Learning Quick Reference, published by Packt