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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87 repositories by Attention Score · May 8, 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 🧑🔬
Reference PyTorch implementation and models for DINOv3
Google Research
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
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.
A latent text-to-image diffusion model
A simple screen parsing tool towards pure vision based GUI agent
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
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
The fastai deep learning library
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository host gives no description.
The repository host gives no description.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
High-Resolution Image Synthesis with Latent Diffusion Models
QLoRA: Efficient Finetuning of Quantized LLMs
Flax is a neural network library for JAX that is designed for flexibility.
Foundational Models for State-of-the-Art Speech and Text Translation
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Playing Pokemon Red with Reinforcement Learning
A multi-voice TTS system trained with an emphasis on quality
stable diffusion webui colab
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
LAVIS - A One-stop Library for Language-Vision Intelligence
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.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Genomics & Transcriptomics
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This repository contains the source code for the paper First Order Motion Model for Image Animation
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Algorithms for outlier, adversarial and drift detection
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).
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A scikit-learn compatible neural network library that wraps PyTorch
Instructional notebooks on music information retrieval.
Synthetic data generators for tabular and time-series data
Natural Gradient Boosting for Probabilistic Prediction
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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.
🏃 The go-to single-cell Foundation Model
A collection of infrastructure and tools for research in neural network interpretability.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Reference mapping for single-cell genomics
Sources codes for: Mastering Python for Finance, Second Edition
Optimising chemical reactions using machine learning
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Mostly experiments based on "Advances in financial machine learning" book
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.
Deep Reinforcement Learning for de-novo Drug Design
Research experiments exploring uncommon quant techniques.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Environment for reinforcement-learning algorithmic trading models
food image to recipe with deep convolutional neural networks.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Tutorials and training material for the H2O Machine Learning Platform
Neural question generation using transformers
ChatGPT Python Applications integrated with third party libraries and modules
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Reinforcement Learning for Portfolio Management
Koç University deep learning framework.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Python package for Bayesian Machine Learning with scikit-learn API