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.
Example deep learning projects that use wandb's features.
Python Productivity for ZYNQ
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!)
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]
reproduce simple cv project including classification, object detection, segmentation, keypoint detection, tracking, attention mechanism:smile: etc.
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.
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
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
Plain python implementations of basic machine learning algorithms
Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19
Keras Temporal Convolutional Network.
Implementation of various topic models
COCO API - Dataset @ http://cocodataset.org/
A high-level probabilistic programming interface for TensorFlow Probability
Homepage for STAT 157 at UC Berkeley
A collection of infrastructure and tools for research in neural network interpretability.