Stars
Easily train a good VC model with voice data <= 10 mins!
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
Transform datasets at scale. Optimize datasets for fast AI model training.
A python library for self-supervised learning on images.
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
A modular graph-based Retrieval-Augmented Generation (RAG) system
Ghidra is a software reverse engineering (SRE) framework
This is the code for "Multi-Exposure Image Fusion via Deep Perceptual Enhancement".
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".
Open-Sora: Democratizing Efficient Video Production for All
A programming framework for agentic AI 🤖
An engine for displaying slips, the next-gen version of slides
This is a list of links to different freely available learning resources about computer programming, math, and science.
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
TORAX: Tokamak transport simulation in JAX
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling