jiaxx Goto Github PK

academic-portfolio

A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage

academicpages.github.io

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

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

allensdk

code for reading and processing Allen Institute for Brain Science data

archconvnets

Architecturally optimized neural networks trained with regularized backpropagation

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

aubio

a library for audio and music analysis

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bayarea-dl-summerschool

Torch notebooks and slides for the Bay Area Deep Learning Summer School

bayareadlschool

Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016

binder

reproducible executable environments

bmtk

Brain Modeling Toolkit

brain-score

A framework for evaluating models on integrative brain measurements

c3d-keras

C3D for Keras + TensorFlow

caffe

Caffe: a fast open framework for deep learning.

ccg_jitter

Jitter corrected CCG

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

civis-python

Civis API Client for Python: https://civisanalytics.com/products/civis-platform/

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

community-sdk

Emotiv SDK Community Edition

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

convnet

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolutionary

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cornet

[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

course-content

Summer course content for Neuromatch Academy

course-content-dl