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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78 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
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 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
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.
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
PyTorch code and models for the DINOv2 self-supervised learning method.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A game theoretic approach to explain the output of any machine learning model.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The fastai deep learning library
The repository host gives no description.
QLoRA: Efficient Finetuning of Quantized LLMs
Flax is a neural network library for JAX that is designed for flexibility.
High-Resolution Image Synthesis with Latent Diffusion Models
Foundational Models for State-of-the-Art Speech and Text Translation
Instructional notebooks on music information retrieval.
Playing Pokemon Red with Reinforcement Learning
A multi-voice TTS system trained with an emphasis on quality
The repository host gives no description.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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.
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Foundation Models for Genomics & Transcriptomics
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Natural Gradient Boosting for Probabilistic Prediction
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
stable diffusion webui colab
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A scikit-learn compatible neural network library that wraps PyTorch
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Algorithms for outlier, adversarial and drift detection
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
LAVIS - A One-stop Library for Language-Vision Intelligence
Synthetic data generators for tabular and time-series data
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Optimising chemical reactions using machine learning
A collection of infrastructure and tools for research in neural network interpretability.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Reference mapping for single-cell genomics
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.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Fusing Histology and Genomics via Deep Learning - IEEE TMI
🏃 The go-to single-cell Foundation Model
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Koç University deep learning framework.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Neural question generation using transformers
Environment for reinforcement-learning algorithmic trading models
Mostly experiments based on "Advances in financial machine learning" book
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Sources codes for: Mastering Python for Finance, Second Edition
Deep Reinforcement Learning for de-novo Drug Design
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.