deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
Jupyter notebooks for using & learning Keras
🏕️ Reproducible development environment for humans and agents
A high-level machine learning and deep learning library for the PHP language.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowle...
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
Convert images of LaTex math equations into LaTex code.
Text to image synthesis using thought vectors
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
PyTorch implementation of adversarial attacks [torchattacks]
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Official repository of the xLSTM.
[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Repository containing notebooks of my posts on Medium
nannyml: post-deployment data science in python
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
A sketch extractor for anime/illustration.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Audio generation using diffusion models, in PyTorch.
An End-To-End, Lightweight and Flexible Platform for Game Research
JAX - A curated list of resources https://github.com/google/jax
Russian GPT3 models.
A simple interface for editing natural photos with generative neural networks.
Benchmark datasets, data loaders, and evaluators for graph machine learning
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer ar...
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Deep Learning Chinese Word Segment
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
A CV toolkit for my papers.
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Unsupervised Image-to-Image Translation
Demo for the "Talking Head Anime from a Single Image."
Scaled-YOLOv4: Scaling Cross Stage Partial Network
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transfor...
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Reinforcement Learning environments based on the 1993 game Doom :godmode:
A library for differentiable nonlinear optimization
Tutorial code on how to build your own Deep Learning System in 2k Lines