GoldenSpark

GoldenSpark's Stars

• researchmm/SariGAN

  [NeurIPS'20] Learning Semantic-aware Normalization for Generative Adversarial Networks

  Language:Python543

• nv-tlabs/LION

  Latent Point Diffusion Models for 3D Shape Generation

  Language:Python72052

• neeek2303/EMOPortraits

  Official implementation of EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars

  1581

• neeek2303/FEED

  Official repo of FEED: Facial Extreme Emotions Dataset

  331

• YunjinPark/awesome_talking_face_generation

  79172

• vpncn/vpncn.github.io

  2024**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐，访问Chatgpt。

  Language:HTML14.6k1.4k

• meta-llama/llama

  Inference code for Llama models

  Language:Python54k9.3k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  15.8k1.3k

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python39.9k5.1k

• LianjiaTech/BELLE

  BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

  Language:HTML7.7k744

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.3k4.3k

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1.2k

• outman123/tensorflow

  该工程基于Python3.6，tensorflow1.6。主要是对tensorflow框架进行认识，实践和应用，快速掌握tf在深度学习上的使用，包括线性模型，minist数据集分类，Tensorboard，CNN，LSTM，图像识别网络inception-v3，多任务学习以及验证码识别， word2vec，语音分类模型等实践。配合https://www.bilibili.com/video/av20542427 视频学习更佳。要求在一定的机器学习或深度学习的基础（更新中）

  Language:Python6227

• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

  Language:C++4.3k760

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++19.6k4.1k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python30.5k4.6k

• juliagusak/model-compression-and-acceleration-progress

  Repository to track the progress in model compression and acceleration

  10320

• mit-han-lab/once-for-all

  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

  Language:Python1.8k333

• hongyi-zhang/mixup

  Implementation of the mixup training method

  Language:Python46082

• clovaai/CutMix-PyTorch

  Official Pytorch implementation of CutMix regularizer

  Language:Python1.2k159

• Zx55/dmcp

  Language:Python11920

• tensorflow/benchmarks

  A benchmark framework for Tensorflow

  Language:Python1.1k627

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  269k21.2k

• jacobgil/pytorch-pruning

  PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

  Language:Python872204

• GeorgeSeif/Semantic-Segmentation-Suite

  Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

  Language:Python2.5k880

• Luolc/AdaBound

  An optimizer that trains as fast as Adam and as good as SGD.

  Language:Python2.9k329

• deep-fry/mayo

  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

  Language:Python11319

• Eric-mingjie/network-slimming

  Network Slimming (Pytorch) (ICCV 2017)

  Language:Python907215

• ethanhe42/Awesome-model-compression-and-acceleration

  91

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.1k2.2k