1.MiniMax-AI / MiniMax-H3
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64 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
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State-of-the-art 2D and 3D Face Analysis Project
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Translated🥇Juejin Translation Project (掘金翻译计划, Gold Miner), possibly the largest and best English-to-Chinese technical translation community in the world, the translation platform that best understands readers and translators:
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Reinforcement Learning environments based on the 1993 game Doom :godmode:
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
ID3-based implementation of the ML Decision Tree algorithm
TranslatedChinese version of the official documentation for Google's new open-source artificial intelligence system TensorFlow
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
Curated List of AI, ML and Deep Learning books
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
DeepWrite AI is Made with the Help of ChatGPT3 and Specific Model is Prepared for Generating Perfect Blog Post with atmost Clarity. This is Just the Version 1.0 More Improvement Will be Implemented.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A collection of useful datasets for robotics and computer vision
GraphDTA: Predicting drug-target binding affinity with graph neural networks
A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
Project Delphi-OpenCV. Translation of OpenCV library header files in Delphi
A list of resources about deep learning solutions on 3D shape processing
Mostly experiments based on "Advances in financial machine learning" book
U-Net Brain Tumor Segmentation
Fashion Detection in the Wild (Deep Clothes Detector)
Sources codes for: Mastering Python for Finance, Second Edition
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
🐤 AI chat & search summaries in DuckDuckGo, powered by the latest LLMs
🦁 AI chat & search summaries in Brave Search, powered by the latest LLMs
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Deep Pink is a chess AI that learns to play chess using deep learning.
food image to recipe with deep convolutional neural networks.
A collection of deep learning based methods for HDR image synthesis
Model extraction attacks on Machine-Learning-as-a-Service platforms.
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
A list of Indonesian NLP resources.
A curated list of NLP resources for Hungarian
A curated list of awesome resources for adversarial examples in deep learning
Translated:book: NYU Machine Learning in Finance Chinese Notes
java deep learning algorithms and deep neural networks with gpu acceleration
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
[CVPR 2025] Video Narration as Vocabulary & Video as Long Document
the best machine learning tutorials on the web
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Crop Yield Prediction with Deep Learning
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Reading irctc captchas with 98% accuracy using deep learning
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Building a population of models that trade crypto and mutate iteratively
tutorials made for biologists to learn deep learning
Effects of packers on machine-learning-based malware classifiers that use only static analysis
Go gopher Vector Data [.ai, .svg]
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e