deep-learning

openai/whisper + extra features

A repository with exploration into using transformers to predict DNA ↔ transcription factor binding

Implementation of Perceiver, General Perception with Iterative Attention

Standalone Product Key Memory module in Pytorch - for augmenting Transformer models

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.

Robust multimodal integration method implemented in PyTorch and TensorFlow

A multilingual ASR model that can recognize ten Turkic languages—Azerbaijani, Bashkir, Chuvash, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Uyghur, and Uzbek.

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

This is a repository of transformer-like models, including Transformer, GPT, BERT, ViT and much more to be implemented along my journey into the fascinating deep learning field.

Official implementation of "Tiled Diffusion" [CVPR 2025]

Official PyTorch Implementation for the "Recovering the Pre-Fine-Tuning Weights of Generative Models" paper (ICML 2024).

Speech Recognition model based off of FAIR research paper built using Pytorch.

CP and Tucker decomposition for Convolutional Neural Networks

Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

Neural networks library for machine learning on PHP

Local text-driven editing of 3D shapes with Cascaded Score Distillation

AMD ROCm Installation Guide on RX 6600 XT + TensorFlow and PyTorch

CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

Awesome Weaviate