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arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

astronn

Deep Learning for Astronomers with Tensorflow

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-spark

A curated list of awesome Apache Spark packages and resources.

azure-machinelearning-datascience

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

cs224w_winter2021

CS224W Stanford Winter 2021 Homework solutions

cs231n.github.io

Public facing notes page

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores is used)

data-science-blogs

A curated list of data science blogs

datasets

A public repo of datasets

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_andrewng_notes

Course notes for Andrew NG's Deep Learning course on Coursera

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detectnetcars

Detecting cars on video using DetectNet and Digits

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

distillationtrain-gym

dvc-basics

filter-pruning-geometric-median

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

github.io

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

My first repository

ipython-notebooks

A collection of IPython notebooks covering various topics.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-retinanet

Keras implementation of RetinaNet object detection.

machine_learning_examples

A collection of machine learning examples and tutorials.

ml_projects

Simple Machine Learning Projects