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simple neural network library in ANSI C
Created
2016-02-09
56 commits to master branch, last one 3 years ago
Deep learning in Rust, with shape checked tensors and neural networks
Created
2021-10-12
890 commits to main branch, last one 10 months ago
Artificial Neural Network
Created
2017-12-09
87 commits to master branch, last one about a year ago
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Created
2020-12-19
13 commits to main branch, last one 2 years ago
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Created
2018-10-16
94 commits to master branch, last one 3 years ago
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Created
2017-02-22
460 commits to master branch, last one 4 months ago
Build neural networks based only on Numpy
Created
2018-10-26
25 commits to main branch, last one about a year ago
Data science teaching materials
Created
2019-07-09
110 commits to master branch, last one about a month ago
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation det...
Created
2019-12-16
196 commits to master branch, last one 2 years ago
Deep Learning From Scratch
Created
2019-04-18
34 commits to master branch, last one about a year ago
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
Created
2021-07-29
29 commits to main branch, last one about a month ago
Classifying the Blur and Clear Images
ann
python
neural-nets
clear-images
median-filter
softmax-layer
blur-detection
blurred-images
neural-network
backpropagation
computer-vision
neural-networks
grayscale-images
image-processing
machine-learning
laplace-smoothing
image-classification
classification-algorithm
artificial-neural-networks
stochastic-gradient-descent
Created
2017-07-11
62 commits to master branch, last one 4 years ago
Awesome deep learning crate
Created
2017-06-22
203 commits to master branch, last one about a year ago
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
php
imdb
php-ml
tf-idf
dataset
tutorial
deep-learning
neural-network
text-sentiment
backpropagation
example-project
gradient-descent
machine-learning
sentiment-analysis
text-classification
php-machine-learning
multi-layer-perceptron
sentiment-classification
machine-learning-tutorial
natural-language-processing
Created
2018-12-09
57 commits to master branch, last one about a year ago
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Created
2020-02-22
26 commits to master branch, last one 3 years ago
Simple multilayer perceptron c++ implementation.
Created
2016-01-16
33 commits to master branch, last one 9 days ago
39
71
mit
1
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel ...
Created
2022-08-08
167 commits to main branch, last one about a year ago
simple machine learning demo
Created
2017-11-17
26 commits to master branch, last one about a year ago
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Created
2019-02-21
279 commits to master branch, last one 2 years ago
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
lstm
numpy
pytorch
solutions
assignment
tensorflow
deep-learning
sgd-optimizer
adam-optimizer
neural-network
style-transfer
svm-classifier
backpropagation
computer-vision
jupyter-notebook
machine-learning
stanford-university
recurrent-neural-networks
convolutional-neural-networks
generative-adversarial-network
Created
2018-04-08
40 commits to master branch, last one 3 years ago
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
Created
2023-01-22
50 commits to main branch, last one about a year ago
Quantization-aware training with spiking neural networks
Created
2022-01-03
8 commits to main branch, last one 2 years ago
A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.
Created
2021-02-28
46 commits to main branch, last one 2 years ago
Educational Transformer from scratch (no autograd), with forward and backprop.
Created
2023-11-29
276 commits to main branch, last one 7 months ago
Forward and backward Attention DNN operators implementationed by LibTorch, cuDNN, and Eigen.
Created
2023-02-26
71 commits to cudnn branch, last one about a year ago
yet another scalar autograd engine - featuring complex numbers and fixed DAG
Created
2024-03-18
3 commits to main branch, last one 8 months ago
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
coursera
andrew-ng
assignment
tensorflow
transformers
deep-learning
specialization
backpropagation
deeplearning-ai
inductive-transfer
python-programming
hyperparameter-tuning
recurrent-neural-network
artificial-neural-network
mathematical-optimization
neural-network-architecture
convolutional-neural-network
Created
2023-05-03
96 commits to main branch, last one 9 months ago