Exercise notebooks for Machine Learning modules on Microsoft Learn
[ICCV 2019] Monocular depth estimation from a single image
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
The fastai book, published as Jupyter Notebooks
Python supercharged for the fastai library
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Notebooks for learning deep learning
😷️🇵🇹 Dados relativos à pandemia COVID-19 em Portugal
Reference models and tools for Cloud TPUs.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Example deep learning projects that use wandb's features.
Python Productivity for ZYNQ
Microsoft Quantum Development Kit Samples
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Automatic extraction of relevant features from time series:
Repository for the free online book Machine Learning from Scratch (link below!)
Swift for TensorFlow
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Convert TensorFlow models to ONNX
Resources for deep learning with satellite & aerial imagery
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Home for Elasticsearch examples available to everyone. It's a great way to get started.
Adaptive Experimentation Platform
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Public facing notes page
reproduce simple cv project including classification, object detection, segmentation, keypoint detection, tracking, attention mechanism:smile: etc.
Automatic headphone equalization from frequency responses
unet for image segmentation
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Notebooks and code for the book "Introduction to Machine Learning with Python"
Build your neural network easy and fast
Image augmentation library in Python for machine learning.
Toolbox repository for Tiger team
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
🎁 2,000,000+ Unsplash images made available for research and machine learning
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
Deep Learning Cookbox
A polyhedral compiler for expressing fast and portable data parallel algorithms
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
comparing stand up comedians using natural language processing
Keras- Multi Label Image Classification
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
CatBoost tutorials repository