Data Science stuff with Python 🐍 and Tableau 📊

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Sound Event Detection ML task built on Tensorflow 2. General audio classification repo built with intention for learning, testing and experimenting with on niche tasks. Testing on new data, exploratory data analysis. Tuning parameters, real-time inference on input audio device, send triggers on Artnet bus. Use wtih my ADRT dataset creator.

Clone of GPT-2

EBOP Model Automatic input Value Estimation Neural network

This repository contains exercises of the subjects that I have teached, I am learning or have already learned

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Little Software to make Musik with function aproximating neural networks

My first ML sandbox

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12

Implementation of Linear/Logistic Reg, K-NN, SVM, Clustering, K-Means, ConvNet, ResNet, MobileNet, RNN, LSTM etc. using Pandas, SciKitLearn, NumPy & TensorFlow 2

ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

DeepCBA is a high-precision maize gene expression prediction model, which includes convolution neural network (CNN), bidirectional long short-term memory network (BiLSTM) and self-attention mechanism.

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)

FinRL: Financial Reinforcement Learning. 🔥

docs for search system and ai infra

A comprehensive benchmark for real-world Sentinel-2 imagery super-resolution

Deep Learning Courses