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
 - Nvidia contributed CUDA tutorial for Numba☆262Updated 3 years ago
 - a mini Deep Learning framework supporting GPU accelerations written with CUDA☆32Updated 4 years ago
 - How to implement Non Max Suppression (NMS) in PyTorch☆17Updated 3 years ago
 - Light Face Detection using PyTorch Lightning☆82Updated 2 years ago
 - An implementation of convolutional networks in NumPy!☆81Updated 4 years ago
 - This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆173Updated 2 years ago
 - FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)☆55Updated 2 years ago
 - ☆116Updated 5 years ago
 - Aloception is a set of package for computer vision: aloscene, alodataset, alonet.☆93Updated 5 months ago
 - Automatic neural network visualizations generated in your browser!☆156Updated 3 months ago
 - ☆54Updated 5 years ago
 - Keras style progressbar for Pytorch (PK Bar)☆32Updated last year
 - Scailable ONNX python tools☆97Updated last year
 - FLOPs and other statistics COunter for tf.keras neural networks☆30Updated 3 years ago
 - convert a pytorch model to a model for edge device☆20Updated 2 years ago
 - Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 9 months ago
 - deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API☆21Updated 2 years ago
 - Simple stochastic weight averaging callback for Keras☆63Updated 4 years ago
 - Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆222Updated 7 months ago
 - Productionize machine learning predictions, with ONNX or without☆66Updated last year
 - Transform ONNX model to PyTorch representation☆341Updated 11 months ago
 - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy☆59Updated 4 years ago
 - Python code for analysing object detection metrics☆31Updated 3 years ago
 - Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
 - PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆265Updated 5 years ago
 - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
 - A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated last year
 - FasterAI: Prune and Distill your models with FastAI and PyTorch☆249Updated last week
 - MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago