401.microsoft / Bringing-Old-Photos-Back-to-LifeArchived
Bringing Old Photo Back to Life (CVPR 2020 oral)
- image-restoration
- old-photo-restoration
- generative-adversarial-network
- gans
- pytorch
- image-manipulation
- +2 more
Ranked by Attention Score: stars gained over the last 90 complete days
401–500 of 1,138 by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
Bringing Old Photo Back to Life (CVPR 2020 oral)
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Android Input Method Editor (IME) based on Whisper
TranslatedUltra-lightweight Chinese OCR, supports vertical text recognition, supports ncnn, mnn, and tnn inference (dbnet (1.8M) + crnn (2.5M) + anglenet (378KB)), total model size only 4.7M
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
TensorFlow's Visualization Toolkit
Translated100+ Chinese Word Vectors
TranslatedChinese characters to pinyin converter (pypinyin)
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
StarDist - Object Detection with Star-convex Shapes
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
☁️ Build multimodal AI applications with cloud-native stack
mlpack: a fast, header-only C++ machine learning library
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
OCR & Document Extraction using vision models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Pretrained models for TensorFlow.js
Draw a mockup and generate html for it
Source code for Twitter's Recommendation Algorithm
An open source python library for automated feature engineering
stable diffusion webui colab
Face recognition using Tensorflow
A python library for self-supervised learning and latent world models on images.
Clean PyTorch implementations of imitation and reward learning algorithms
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow-based neural network library
The AI-native browser automation library. Snapshot + ref targeting — born from OpenClaw, built for agents, by agents.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
TranslatedAn entry-level project for face, video, and text detection and recognition.
modest natural-language processing
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
Open standard for Provenance & Intent Contracts (PIC) in AI agents. Verify intent, provenance, and evidence before high-impact tool calls.
PyTorch implementations of Generative Adversarial Networks.
Automated Machine Learning with scikit-learn
:wave: Motion detection using the doppler effect
Segment Anything for Microscopy
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A system for quickly generating training data with weak supervision
Precision Medicine Knowledge Graph (PrimeKG)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Instant thought capture for macOS. One shortcut, post-it appears, type, close.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Face recognition with deep neural networks.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This package contains deep learning models and related scripts for RoseTTAFold
AI Game Developer for Unreal Engine — MCP plugin (C++ editor plugin + .NET bridge), unreal-cli, connects Unreal Editor to AI agents via ai-game.dev or a local MCP server
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
simple neural network library in C99
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
QuadriFlow: A Scalable and Robust Method for Quadrangulation
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
ML.NET is an open source and cross-platform machine learning framework for .NET.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
AI Infra / AI Orchestration / AI Control Plane
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Genetic Programming in Python, with a scikit-learn inspired API
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
SoftVC VITS Singing Voice Conversion
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Papermerge OSS
Machine learning, in numpy
LAVIS - A One-stop Library for Language-Vision Intelligence
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
A Python scikit for building and analyzing recommender systems
Lightweight AI-friendly Docker Swarm management
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Feature engineering and selection open-source Python library compatible with sklearn.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.
Search the web and primary sources, read full pages, and check every citation. MCP server for Claude, Cursor, Codex and more. Runs on your machine.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Lime: Explaining the predictions of any machine learning classifier
The machine learning toolkit for time series analysis in Python
Fullstack SaaS Boilerplate built with tRPC, Fastify and React
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
Statistical Machine Intelligence & Learning Engine
Plant phenotyping with image analysis
Official repository for the ProteinGym benchmarks