A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Demo applications showcasing DJL

Visualizer for neural network, deep learning and machine learning models

450h Data Scientist training - Collect and store large amounts of data - Build prediction models in Machine Learning and Deep Learning - Deploy your models in real conditions

Automated Market Analysis Systems.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

딥러닝의 원리를 맛보는 프로젝트

Open-source Python library designed to improve engineering practices and transparency in feature engineering.

A benchmark dataset collection for bird sound classification

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Implementation of Paper in code.

A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.

Yet another 2048 in reinforcement learning

Implements classes for feature engineering including one for Singular Spectrum Analysis (SSA) decomposition, SSA prediction or an heuristic function of an input dataset that may be used as training signal.

Just an app to use DeepFaceLab with a user interface.

NviWatch: A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU processes

This project focuses on detecting and classifying face mask usage using a deep learning model, specifically YOLOv8

the implementation of a research project focused on detecting code smells using Large Language Models (LLMs). Code smells are indicators of potential issues in software code that could affect its quality and maintainability. The project leverages advanced deep learning techniques, including multi-label classification.

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

Website for "Awesome Learning to Hash" https://learning2hash.github.io