1.Tencent / WeVisOne-VL
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
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57 repositories by Attention Score · Oct 29, 2026 – Nov 4, 2026 (UTC)
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
FinRL®: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Google Research
Reference PyTorch implementation and models for DINOv3
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A simple screen parsing tool towards pure vision based GUI agent
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The fastai deep learning library
A game theoretic approach to explain the output of any machine learning model.
PyTorch code and models for the DINOv2 self-supervised learning method.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Foundational Models for State-of-the-Art Speech and Text Translation
Flax is a neural network library for JAX that is designed for flexibility.
The repository host gives no description.
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
High-Resolution Image Synthesis with Latent Diffusion Models
QLoRA: Efficient Finetuning of Quantized LLMs
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Natural Gradient Boosting for Probabilistic Prediction
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository host gives no description.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Playing Pokemon Red with Reinforcement Learning
A collection of infrastructure and tools for research in neural network interpretability.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Precision Medicine Knowledge Graph (PrimeKG)
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
LAVIS - A One-stop Library for Language-Vision Intelligence
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A scikit-learn compatible neural network library that wraps PyTorch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Algorithms for outlier, adversarial and drift detection
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Neural question generation using transformers
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Environment for reinforcement-learning algorithmic trading models
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Deep Reinforcement Learning for de-novo Drug Design
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.