ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
Jun 11, 2024 - C++
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
EBOP Model Automatic input Value Estimation Neural network
A machine learning model to recognize handwritten numbers using TensorFlow. Trained and tested on the famous MNIST dataset.
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
A FastAPI-based API for detecting toxic comments using a TensorFlow model trained on comment data.
Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Visualizer for neural network, deep learning and machine learning models
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
View model summaries in PyTorch!
Machine learning on FPGAs using HLS
Machine learning notebooks 📔
Example ML projects that use the Determined library.
Open standard for machine learning interoperability
scripts used for neural decoding of single and multi unit auditory cortex data
Experimental project on building custom LSTM and LSTM with Attention layer for comparison analysis on FTS forecasting (June 2024)
Created by François Chollet
Released March 27, 2015