最有价值项目

[WACV 2026] The official implementation of the paper titled " End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards" accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026

Finetuning Google's Gemma Model for Translating Natural Language into SQL

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

The License Plate Recognition (LPR) System is a computer vision project designed to detect and recognize license plates in images or video streams.

Tracking exactly what happens to the internal "circuitry" (induction heads) of a 2-layer attention-only Transformer when forced to undergo domain adaptation from prose to structured Python code.

This repository contains a system for generating question-answer pairs for FINE-TUNING LLMs from the data you have.

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub

An experiment with movie scenes and contrastive learning

Code associated with the blog post titled, "Fine-Tuning BGE Embeddings Using Synthetic Data from Amazon Bedrock"

Llama 3.2 fine-tuned on a medical dataset for improved healthcare-specific understanding and tasks.

Voice cloning using coqui-TTS

A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.

Low Tensor Rank adaptation of large language models

A repo for NLP model Bert.

The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)

ComfyUI nodes useful to Tweak SDXL, Illustrious, and NAI models by adjusting specific 'slices'. These nodes break the U-Net and CLIP into areas of application (like Style, Lighting, Word Logic...) and use sliders to boost or lower the intensity of any of those sections without training.

Self-hostable content-addressed storage for AI models, datasets, containers, and build artifacts with Git LFS, OCI, Bazel HTTP, Huggingface, and Xet frontends

Curated, research-grade catalog of public AI models with substantial support for the Kazakh language.

Emacs tree style keymapping for IntelliJ-based IDEs.