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🐍 Geometric Computer Vision Library for Spatial AI
A simple package to automatically trace PyTorch training memory usage.
On-device Speech Recognition for Android
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing d…
Kimi K2 is the large language model series developed by Moonshot AI team
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Voyager is an interactive RGBD video generation model conditioned on camera input, and supports real-time 3D reconstruction.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
Sync entire obsidian library to notion database with images included. Minimal user intervention after initial setup, can be run multiple times without duplicating values to provide a backup like ex…
Learn AI and LLMs from scratch using free resources
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
codes for R-Zero: Self-Evolving Reasoning LLM from Zero Data (https://www.arxiv.org/pdf/2508.05004)
minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Wan: Open and Advanced Large-Scale Video Generative Models
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
A scikit-learn compatible neural network library that wraps PyTorch
Denoising Diffusion Probabilistic Models
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
[CVPRW 2025] McByte - tracking in sports without training (No Train Yet Gain)
Official inference repo for FLUX.1 models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch