mmderakhshani Goto Github PK
Name: Mohammad Mahdi Derakhshani
Type: User
Bio: PhD Student @ University of Amsterdam
Location: Amsterdam
Name: Mohammad Mahdi Derakhshani
Type: User
Bio: PhD Student @ University of Amsterdam
Location: Amsterdam
A resource repository for 3D machine learning
Advanced Scikit-learn training session
Implementation of Papers on Adversarial Examples
A curated list of awesome Causal Inference resources
A comprehensive list of awesome contrastive self-supervised learning papers.
[ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Here is a simple code for doing character level Language modeling with RNN on tinyshakespeare dataset
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The world's simplest facial recognition api for Python and the command line
Google AI Research
Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
Kernel Continual Learning
LAVIS - A One-stop Library for Language-Vision Intelligence
Base Code of "LifeLonger: A Benchmark for Continual Disease Classification, MICCAI, 2022"
Linear Algebra Hand Notes
Useful code of Manuel Ignacio López Quintero
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
Contains examples for the Movidius Neural Compute Stick.
This is a repository containing source codes on class segmentation in Pascal VOC 2007
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Toolkit for creating, sharing and using natural language prompts.
The versatility of Python :snake: enlightened by Torch :flashlight: to seize Deep Learning
This is a repository containing a python script to calculate batch-based running mean and running statistics.
Scikit-learn tutorial at SciPy2016
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.