msrocean Goto Github PK
Name: Mohammad Saidur Rahman
Type: User
Bio: Ph.D. Candidate - Rochester Institute of Technology.
Twitter: msrocean
Location: Rochester, NY 14623, USA
Blog: www.rahmanmsaidur.com
Name: Mohammad Saidur Rahman
Type: User
Bio: Ph.D. Candidate - Rochester Institute of Technology.
Twitter: msrocean
Location: Rochester, NY 14623, USA
Blog: www.rahmanmsaidur.com
Deep Convolutional Generative Adversarial Networks
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. See our docs: https://docs.deepchecks.com
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
Program for determining types of files for Windows, Linux and MacOS.
Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"
Echo State Networks with TensorFlow
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch.
Computing the information content of trained neural networks
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"
Framework for Analysis of Class-Incremental Learning
Salvaging Federated Learning by Local Adaptation
Source code for the data collection and analysis used in the 'How unique is your onion?' project.
Tool to find metadata and hidden information in the documents.
starter from "How to Train a GAN?" at NIPS2016
Generative Adversarial Networks implemented in PyTorch and Tensorflow
GPT-3: Language Models are Few-Shot Learners
Numba tutorial for GTC 2017 conference
Distributed training framework for TensorFlow, Keras, and PyTorch.
Implementation of BI-R in T&E framework.
Interactive Parallel Computing in Python
Collection of Jupyter Notebooks by @fr0gger_
Benchmarks for the k-FP WF attack
Reference implementations of popular deep learning models.
A curated list of leetcode questions grouped by their common patterns
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.