brucemen's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-python-blogs
A curated list of Awesome Python Blogs and Newsletters for Python Developers and Newbies
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
brucemen.github.io
A simple Jekyll theme for words and pictures.
brucemenold.github.io
:ramen: Minimalist Jekyll Template
cs231n.github.io
Public facing notes page
Data-Science--Cheat-Sheet
Cheat Sheets
deeplearning-models
A collection of various deep learning architectures, models, and tips
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
experiment-model
experimentcalculator.com
free-programming-books-zh_CN
:books: 免费的计算机编程类ä¸ć–‡äą¦ç±ŤďĽŚć¬˘čżŽćŠ•ç¨ż
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.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
kaggle-web-traffic
1st place solution
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
spaCy
đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)