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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88 repositories by Attention Score · Aug 7, 2026 – Nov 4, 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
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.
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
The repository host gives no description.
Playing Pokemon Red with Reinforcement Learning
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
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)
Segment Anything for Microscopy
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Precision Medicine Knowledge Graph (PrimeKG)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
LAVIS - A One-stop Library for Language-Vision Intelligence
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
This repository contains the source code for the paper First Order Motion Model for Image Animation
A scikit-learn compatible neural network library that wraps PyTorch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Natural Gradient Boosting for Probabilistic Prediction
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).
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Algorithms for outlier, adversarial and drift detection
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.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
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.
🏃 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
The repository host gives no description.
Optimising chemical reactions using machine learning
A knowledge graph and a set of tools for drug repurposing
Code for "High-Precision Model-Agnostic Explanations" paper
Environment for reinforcement-learning algorithmic trading models
Elastic Malware Benchmark for Empowering Researchers
Deep Reinforcement Learning for de-novo Drug Design
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.
TensorFlow Implementation of "Show, Attend and Tell"
food image to recipe with deep convolutional neural networks.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
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
Use evolutionary algorithms instead of gridsearch in scikit-learn
Python package for Bayesian Machine Learning with scikit-learn API
Reinforcement Learning for Portfolio Management
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.