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allenccf

Tools to work with Allen Inst CCF data in matlab

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome

😎 Awesome lists about all kinds of interesting topics

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

bci_math

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

bcs-mit-computational-tutorial

bert

TensorFlow code and pre-trained models for BERT

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

bluepy

Python interface to Bluetooth LE on Linux

bookcode_edition1

braindecode

Deep learning software to decode EEG or MEG signals

build-ml-pipeline-for-short-term-rental-prices

Project code for cd0581 refresh taught by Giacomo Vianello

case-studies-kramer-eden

Code and data for the book "Case Studies in Neural Data Analysis"

celestina

A graphical tool for the qualitative analysis of the merge operation in Wave_clus

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

conda-docs

Conda documentation

contextual-corr-analysis

continual_learning_cv

Continual Learning Toolbox for Computer Vision Tasks

course-content

Summer course content for Neuromatch Academy

data-ppf.github.io

website

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-roadmap

Data Science Roadmap from A to Z

datasharing

The Leek group guide to data sharing

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments