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Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

Attention is all you need implementation

Tensorflow Backend for ONNX

Deformable Convolutional Networks v2 with Pytorch

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

A lightweight adapter bridges SAM with medical imaging [MedIA]

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

A simple mesh network communications app powered by the Reticulum Network Stack.

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

This is now the official location of the Merlin project.

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

A clean and readable Pytorch implementation of CycleGAN

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Image Completion with Deep Learning in TensorFlow

A curated list of the most impressive AI papers

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

🤗 image matching webui

Go from no deep learning knowledge to implementing GPT.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

A comprehensive list of awesome contrastive self-supervised learning papers.

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

https://wavespeed.ai/ Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.

This is a background removing tool powered by InSPyReNet (ACCV 2022)

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

Native Android messaging app using Bluetooth LE, TCP, or RNode (LoRa) over LXMF and Reticulum

MICCAI 2019-2026 Open Source Papers

An awesome face technology repository.

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Examples of programs built using Modal

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

基于Yolov5车牌检测,更快更准.

How Powerful are Graph Neural Networks?

A collaboratively written review paper on deep learning, genomics, and precision medicine

Repository for few-shot learning machine learning projects

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Paper reading notes on Deep Learning and Machine Learning

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).