Popular GitHub Repositories for Different Currencies

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

MemU is an open-source memory framework for AI companions—high accuracy, fast retrieval, low cost. It acts as an intelligent "memory folder" that adapts to different scenarios, from different companions senarios.

DeepLab v3+ model in PyTorch. Support different backbones.

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Cloudflare超级代理，无服务器代理，Duckduckgo代理（可用AI聊天，包含GPT4o/Calude3），Github加速，支持解锁Libgen，在线代理。现已支持多平台部署。Cloudflare super proxy, setting up a free serverless proxy by using Cloudflare worker, support Duckduckgo / Libgen. Now you can deploy this project on different platforms.

Provides the same proxy OpenAI API interface for different LLM models, and supports deployment to any Edge Runtime environment.

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

This repo contains implementation of different architectures for emotion recognition in conversations.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

? ? Point your camera at things to hear how to say them in a different language

A webui for different audio related Neural Networks

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)

Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.