Stars
From the Transistor to the Web Browser, a rough outline for a 12 week course
Practical Python exercises on classical computer vision and clean engineering practices
🌳 [ICRA'25] Hier-SLAM: Semantic Gaussian Splatting SLAM with Hierarchical Categorical Representation
This package contains the original 2012 AlexNet code.
Efficient vision foundation models for high-resolution generation and perception.
Aryan8912 / metamon
Forked from UT-Austin-RPL/metamonHuman-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Interactive tutorial to build a learning Mario, for first-time RL learners
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemen…
This project focuses on the segmentation of brain tumors in 3D MRI images using Convolutional Neural Network (CNN) models. The research compares the performance of SegNet, V-Net, and U-Net architec…
Combining Diffusion Models with PPO to Improve Sample Efficiency and Exploration in Reinforcement Learning
Unofficial pytorch implementation of DDVM.
VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you have a stellar academi…
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
Awesome Reasoning LLM Tutorial/Survey/Guide
Code for Discovering Preference Optimization Algorithms with and for Large Language Models
A repository to unravel the language of GPUs, making their kernel conversations easy to understand
[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
[CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS