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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

anthology-of-modern-ml

Collection of important articles to be treated as a textbook

awesome-computational-neuro-science

A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥

awesome-domain-generalization

Awesome things about domain generalization, including papers, code, etc.

awesome-information-bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

awesome-kan

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-ml4co

Awesome machine learning for combinatorial optimization papers.

awesome-neuromorphic-hw

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

awesome-snn

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

awesome-spiking-neural-networks

A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.

backprop-alts

This repository has implementations of various alternatives to backpropagation for training neural networks.

binary-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.

bodyct-dram

brain-cog

Brain-inspired Cognitive Intelligence Engine (BrainCog)

brain-data-deep-learning

Magnetoencephalography classification of subjects using DL

brevitas

Brevitas: neural network quantization in PyTorch

coding-interview-university

A complete computer science study plan to become a software engineer.

conference-acceptance-rate

Acceptance rates for the major AI conferences

continual-learning

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.

datasets

A collection of datasets of ML problem solving

deep-learning-dynamics-paper-list

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.

deep_compression

Recreated deep compression's pruning, quantization and huffman encoding pipeline

deepexplain

Git repo for the EEML explainable deep learning tutorial project.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepseparator

Deep learning model for EEG artifact removal

dsde-deep-learning

DSDE Deep Learning Club

dynamic-convolution-pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

ebm_torch

Energy Based Models in PyTorch