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Name: Sandipan Bhowmick
Type: User
Bio: Learner
Name: Sandipan Bhowmick
Type: User
Bio: Learner
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Collection of important articles to be treated as a textbook
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks đĽ
Awesome things about domain generalization, including papers, code, etc.
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
JAX - A curated list of resources https://github.com/google/jax
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Awesome machine learning for combinatorial optimization papers.
Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.
đĽđĽđĽA collection of some awesome public SNN(Spiking Neural Network) projects.
A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
This repository has implementations of various alternatives to backpropagation for training neural networks.
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
Brain-inspired Cognitive Intelligence Engine (BrainCog)
Magnetoencephalography classification of subjects using DL
Brevitas: neural network quantization in PyTorch
A complete computer science study plan to become a software engineer.
Acceptance rates for the major AI conferences
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
A collection of datasets of ML problem solving
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
Recreated deep compression's pruning, quantization and huffman encoding pipeline
Git repo for the EEML explainable deep learning tutorial project.
A collection of various deep learning architectures, models, and tips
Deep learning model for EEG artifact removal
DSDE Deep Learning Club
Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)
Task-based end-to-end model learning in stochastic optimization
Energy Based Models in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ď¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.