🇨🇦 Made in Canada
Discover Canada's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of Canada.
TOP Jupyter Notebook Projects
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
bloc97/Anime4K
A High-Quality Real Time Upscaler for Anime Video
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
pycaret/pycaret
An open-source, low-code machine learning library in Python
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
chenyuntc/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
priya-dwivedi/Deep-Learning
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
bowang-lab/MedSAM
Segment Anything in Medical Images
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
unsplash/datasets
🎁 4,800,000+ Unsplash images made available for research and machine learning
xuebinqin/DIS
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
nickmccullum/algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
devinpleuler/analytics-handbook
Getting started with soccer analytics
xinychen/latex-cookbook
LaTeX论文写作教程 (清华大学出版社)
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
Tanu-N-Prabhu/Python
This repository helps you understand python from the scratch.
bloc97/CrossAttentionControl
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
xinychen/transdim
Machine learning for transportation data imputation and prediction.
guillaume-chevalier/seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
bowang-lab/scGPT
Robert-JunWang/Pelee
Pelee: A Real-Time Object Detection System on Mobile Devices
craffel/pretty-midi
Utility functions for handling MIDI data in a nice/intuitive way.
qqiang00/Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
chocoluffy/deep-recommender-system
深度学习在推荐系统中的应用及论文小结。
alexminnaar/time-series-classification-and-clustering
Time series classification and clustering code written in Python.
fidler-lab/polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018)
castorini/daam
Diffusion attentive attribution maps for interpreting Stable Diffusion.
terryum/TensorFlow_Exercises
The codes I made while I practiced various TensorFlow examples
Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
davidrosenberg/mlcourse
Machine learning course materials.
AndreiBarsan/DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
patrickwalls/mathematicalpython
Introduction to Mathematical Computing with Python and Jupyter
abdallahdib/NextFace
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
amaargiru/pycore
Python Extended Cheatsheet. I'm using this repository to chronicle my journey through Python.
priya-dwivedi/cs224n-Squad-Project
cohere-ai/notebooks
Code examples and jupyter notebooks for the Cohere Platform
ericxiao251/spark-syntax
This is a repo documenting the best practices in PySpark.
AutodeskAILab/Fusion360GalleryDataset
Data, tools, and documentation of the Fusion 360 Gallery Dataset
marcopeix/TimeSeriesForecastingInPython
hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
jwangjie/Gaussian-Process-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
nicolas-gervais/predicting-car-price-from-scraped-data
Picture and specifications scraper
seyonechithrananda/bert-loves-chemistry
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Demfier/multimodal-speech-emotion-recognition
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Kulbear/deep-learning-nano-foundation
Udacity's Deep Learning Nano Foundation program.
danluu/UFLDL-tutorial
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
terryum/Data-Augmentation-For-Wearable-Sensor-Data
A sample code of data augmentation methods for wearable sensor data (time-series data)
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
MahanFathi/CS231
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
FKLC/Torrent-To-Google-Drive-Downloader
Simple notebook to stream torrent files to Google Drive using Google Colab.
chendaniely/pandas_for_everyone
Repository to accompany "Pandas for Everyone"
kracwarlock/action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
Rishit-dagli/MIRNet-TFJS
TensorFlow JS models for MIRNet for low-light💡 image enhancement
marcopeix/time-series-analysis
Collection of notebooks for time series analysis
castorini/pygaggle
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
Tangshitao/QuadTreeAttention
QuadTree Attention for Vision Transformers (ICLR2022)
luisguiserrano/manning
Repository for the book Grokking Machine Learning, by Manning Editors
amaargiru/pyroad
Detailed Python developer roadmap
priya-dwivedi/face_and_emotion_detection
susanli2016/PySpark-and-MLlib
Getting start with PySpark and MLlib
lingjzhu/CharsiuG2P
Multilingual G2P in 100 languages
mahmoudnafifi/HistoGAN
Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Kulbear/stock-prediction
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
lingjzhu/charsiu
Charsiu: A neural phonetic aligner.
kylemath/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
PiercingDan/spark-Jupyter-AWS
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
nekitmm/starnet
StarNet
guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
ababaian/serratus
Ultra-deep search for novel viruses
cloudanum/50Algorithms
ThomasDelteil/VisualSearch_MXNet
Visual Search using Apache MXNet and gluon
ank0409/Ditching-Excel-for-Python
Functionalities in Excel translated to Python
ehsanhaghighat/sciann-applications
A place to share problems solved with SciANN
MariyaSha/WebscrapingInstagram
Multiple Notebooks for Web Scraping Instagram with Selenium
swethasubramanian/LungCancerDetection
Use CNN to detect nodules in LIDC dataset.
DEAP/notebooks
Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
mattsherar/Temporal_Fusion_Transform
Pytorch Implementation of Google's TFT
IliaZenkov/transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
craffel/theano-tutorial
A collection of tutorials on neural networks, using Theano
semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
luisguiserrano/gans
GANs in slanted land
cohere-ai/sandbox-topically
Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.
sdoria/SimpleSelfAttention
A simpler version of the self-attention layer from SAGAN, and some image classification results.
swechhasingh/Handwriting-synthesis
Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
deepanshut041/feature-detection
Oriented FAST and Rotated BRIEF using opencv
gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
xinychen/Tensor4ML
Tensor decomposition for machine learning (w/ Python implementation)
stas00/ipyexperiments
Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers
Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
bjlkeng/sandbox
Play time!
minireference/noBSLAnotebooks
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
chenyuntc/pytorch-GAN
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
wdlcameron/Solutions-to-Data-Structures-and-Algorithms-in-Python
[My Solutions] Data Structures and Algorithms in Python (Michael T. Goodrich)
pytopia/CS-Tutorial
Source Code for CS Courses Offered by Ali Hejazizo