Popular GitHub Repositories for Added

A free and open source, self hosted Ai based live meeting note taker and minutes summary generator that can completely run in your Local device (Mac OS and windows OS Support added. Working on adding linux support soon)

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on inference acceleration, and related works will be gradually added in the future. Welcome contributions!

本次开源为DL-B，是一个基于ChatGLM、Wav2Lip、So-VITS组建的数字形象方案。可以在此基础之上增加其他组件达到数字生命的效果。This open source is DL-B, which is a digital image scheme based on ChatGLM, Wav2Lip and So-VITS. On this basis, other components can be added to achieve the effect of digital life.

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.

语音算法相关资源汇总 Resource for Speech Processing || NEWS: official link of VoxCeleb fails recently and an external link is added for download

Adding the Feature "Real World Path Direction" by tapping on Map. GoogleMap will give us the direction to that location from user location then click on "ARView" & you will get the real-world path direction. Also added "Reachability" for finding path in Google map. -- Also added .mlmodel for car-detection. Initially trained the model using Convolutional Neural Network in TensorFlow, then convert the .h5 output into .mlmodel. Use it in the application. please check : https://github.com/ashislaha/CarDetection-Keras & https://github.com/ashislaha/CarDetection-iOS for more details how to train a model. -- In ARFrame generates capturedImage which is the input to .mlmodel for detecting that car is present in the image or not. -- This project combines both ARKit & CoreML.

Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.

Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-trained with data in a specific range of amplitude, their objectives do not make them ready for voices in different amplitudes. To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2.0 model called Random Frequency Pitch (RFP). In addition, we used our newly introduced dataset to fine-tune our model for Meaningless

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

A high level deep learning framework for quickly prototyping networks with added tools in data visualisation, model interpretability and performance metrics

Create your ChatBot using OpenAI API (ChatGPT). Enter your API Key and Run Single File. Structured and Commented Code for Ease. Also added WebApp Template for Reference!

Art2Mus is a system that generates music based on digitized artworks and text by using the AudioLDM2 architecture with an added projection layer for integrating visual and textual inputs.

Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without added training or inference costs.

Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial

A user-friendly interface for ElevenLabs' API with added audio transcription capability.

? Predict personalities using machine learning and Big 5 model.