Repository Index

Deepfakes Software For All

• faceswap
• face-swap
• deep-learning
• deeplearning

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

• audio
• deeplearning
• minicpm
• python

Visualizer for neural network, deep learning and machine learning models

• neural-network
• deep-learning
• machine-learning
• deeplearning

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)

• machine-translation
• speaker-recognition
• asr
• tts

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

• java
• gpu
• deeplearning
• neural-nets

TranslatedAI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures. It removes hard-coded subtitles and text watermarks from images/videos and generates subtitle-free, watermark-free image/video files at lossless resolution. No third-party API application is needed; it runs locally.

• ai
• deepleanring
• vsr
• sub-remove

Low-code framework for building custom LLMs, neural networks, and other AI models

• deep-learning
• deeplearning
• deep
• learning

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

• segmentation
• image-processing
• pspnet
• unet

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

• deep-learning
• pytorch
• ai
• mlops

Gorgonia is a library that helps facilitate machine learning in Go.

• machine-learning
• artificial-intelligence
• neural-network
• computation-graph

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

Deep neural network to extract intelligent information from invoice documents.

• invoice
• invoice-management
• invoices
• invoice-insight

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

• deep-learning
• computer-vision
• speech-recognition
• 3d-convolutional-network

Self-contained Machine Learning and Natural Language Processing library in Go

• deep-learning
• machine-learning
• natural-language-processing
• neural-network

A uniform interface to run deep learning models from multiple frameworks

• tensorflow
• pytorch
• keras
• deep-learning

A GPU implementation of Convolutional Neural Nets in C++

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

• ros
• ros-kinetic
• ros-packages
• rviz

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

Introduction to Deep Learning

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Examples of Tensorflow Lite on Android

• tensorflow
• tensorflow-lite
• kotlin-android
• android