| fangwei123456/spikingjelly |
976 |
|
0 |
2 |
over 2 years ago |
11 |
May 01, 2022 |
96 |
other |
Python |
| SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch. |
| kdexd/digit-classifier |
780 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| A single handwritten digit classifier, using the MNIST dataset. Pure Numpy. |
| the-deep-learners/deep-learning-illustrated |
543 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Deep Learning Illustrated (2020) |
| jbarrow/LambdaNet |
376 |
|
0 |
0 |
about 10 years ago |
0 |
|
5 |
mit |
Haskell |
| Purely functional artificial neural network library implemented in Haskell. |
| CYHSM/awesome-neuro-ai-papers |
345 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| Papers from the intersection of deep learning and neuroscience |
| dcmocanu/sparse-evolutionary-artificial-neural-networks |
187 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power). |
| liuziwei7/mobile-id |
180 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
|
Matlab |
| Deep Face Model Compression |
| louisfb01/Top-10-Computer-Vision-Papers-2020 |
177 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
|
| A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference. |
| BasBuller/PySNN |
118 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Python |
| Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration |
| jonasbostoen/simple-neural-network |
84 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron. |
