Nico-Curti / NumPyNetLinks
Neural Networks library in pure numpy
☆70Updated last year
Alternatives and similar repositories for NumPyNet
Users that are interested in NumPyNet are comparing it to the libraries listed below
Sorting:
- A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).☆58Updated 2 years ago
- FLOPs and other statistics COunter for tf.keras neural networks☆30Updated 3 years ago
- How to implement Non Max Suppression (NMS) in PyTorch☆17Updated 2 years ago
- FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)☆55Updated last year
- a mini Deep Learning framework supporting GPU accelerations written with CUDA☆32Updated 4 years ago
- Light Face Detection using PyTorch Lightning☆83Updated last year
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 5 months ago
- Nvidia contributed CUDA tutorial for Numba☆251Updated 2 years ago
- Scailable ONNX python tools☆97Updated 8 months ago
- A numpy-only implementation of a Convolutional Neural Network, from the ground up.☆227Updated 6 years ago
- Automatic neural network visualizations generated in your browser!☆155Updated 2 years ago
- An implementation of convolutional networks in NumPy!☆81Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago
- Simple stochastic weight averaging callback for Keras☆63Updated 3 years ago
- Convert ONNX model graph to Keras model format.☆201Updated last year
- ☆52Updated 4 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated 3 months ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆26Updated last year
- Transform ONNX model to PyTorch representation☆338Updated 8 months ago
- Lightweight C implementation of CNNs for Embedded Systems☆61Updated 2 years ago
- A crash course on PyTorch hooks☆40Updated 5 years ago
- This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆171Updated 2 years ago
- deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API☆19Updated last year
- Convert ONNX models to PyTorch.☆689Updated 11 months ago
- implement AlexNet with C / convolutional nerual network / machine learning / computer vision☆191Updated 3 years ago
- How to train a CNN to 99% accuracy on MNIST in less than a second on a laptop☆68Updated last year
- A practical example of Tensorflow C API based deployment starting from a model trained with Tensorflow + Keras☆82Updated 5 years ago
- ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes th…☆85Updated 4 years ago
- PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision.☆49Updated 6 years ago
- ☆54Updated 4 years ago