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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96 repositories by Attention Score · Aug 6, 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. 🔥
Google Research
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
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.
Reference PyTorch implementation and models for DINOv3
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A latent text-to-image diffusion model
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
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.
The fastai deep learning library
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository host gives no description.
QLoRA: Efficient Finetuning of Quantized LLMs
Foundational Models for State-of-the-Art Speech and Text Translation
High-Resolution Image Synthesis with Latent Diffusion Models
Flax is a neural network library for JAX that is designed for flexibility.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Quantitative analysis, strategies and backtests
The repository host gives no description.
Playing Pokemon Red with Reinforcement Learning
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A multi-voice TTS system trained with an emphasis on quality
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
stable diffusion webui colab
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Implementing a Neural Network from Scratch
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
LAVIS - A One-stop Library for Language-Vision Intelligence
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Foundation Models for Genomics & Transcriptomics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Instructional notebooks on music information retrieval.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
This repository contains the source code for the paper First Order Motion Model for Image Animation
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A scikit-learn compatible neural network library that wraps PyTorch
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
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).
Natural Gradient Boosting for Probabilistic Prediction
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Synthetic data generators for tabular and time-series data
TranslatedCAPTCHA recognition
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.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Reference mapping for single-cell genomics
🏃 The go-to single-cell Foundation Model
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
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.
A collection of infrastructure and tools for research in neural network interpretability.
Optimising chemical reactions using machine learning
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Environment for reinforcement-learning algorithmic trading models
Mostly experiments based on "Advances in financial machine learning" book
Sources codes for: Mastering Python for Finance, Second Edition
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Tutorials and training material for the H2O Machine Learning Platform
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
TensorFlow Implementation of "Show, Attend and Tell"
food image to recipe with deep convolutional neural networks.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Deep Reinforcement Learning for de-novo Drug Design
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
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Python package for Bayesian Machine Learning with scikit-learn API
Reinforcement Learning for Portfolio Management
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
tutorials made for biologists to learn deep learning
Research experiments exploring uncommon quant techniques.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.