Lists (2)
Stars
A latent text-to-image diffusion model
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.
Neural Networks: Zero to Hero
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code release for NeRF (Neural Radiance Fields)
Official inference library for Mistral models
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Playing Pokemon Red with Reinforcement Learning
Flax is a neural network library for JAX that is designed for flexibility.
CoreNet: A library for training deep neural networks
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Structured state space sequence models
Training PyTorch models with differential privacy
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Deep learning for molecules and materials book
An experimental platform for federated learning.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Low latency JSON generation using LLMs ⚡️
Simulation framework for accelerating research in Private Federated Learning
This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
A collection of all projects pertaining to different layers in the SDC software stack
LLM-Merging: Building LLMs Efficiently through Merging
The Riallto Open Source Project from AMD
Code used for information theory analysis of deep neural networks using matrix--based renyi's entropy and tensor kernels.