1.karpathy / micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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55 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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.
FinRL®: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Google Research
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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.
Reference PyTorch implementation and models for DINOv3
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A latent text-to-image diffusion model
A simple screen parsing tool towards pure vision based GUI agent
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The fastai deep learning library
PyTorch code and models for the DINOv2 self-supervised learning method.
A game theoretic approach to explain the output of any machine learning model.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
Flax is a neural network library for JAX that is designed for flexibility.
Foundation Models for Genomics & Transcriptomics
High-Resolution Image Synthesis with Latent Diffusion Models
The repository host gives no description.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Playing Pokemon Red with Reinforcement Learning
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.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Natural Gradient Boosting for Probabilistic Prediction
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
: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
Algorithms for outlier, adversarial and drift detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
TranslatedTensorFlow in practice: using LSTM to predict lottery results
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.
A multi-voice TTS system trained with an emphasis on quality
The repository host gives no description.
A collection of infrastructure and tools for research in neural network interpretability.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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
Optimising chemical reactions using machine learning