Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
codecraft2023
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
fanqiang
翻墙-科学上网
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Image-Augmentation
Image augmentation for computer vision
imageprocessing
创建新项目测试
ldbserver
cmake project
jkl469's Repositories
jkl469/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jkl469/Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
jkl469/codecraft2023
jkl469/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
jkl469/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
jkl469/fanqiang
翻墙-科学上网
jkl469/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jkl469/Image-Augmentation
Image augmentation for computer vision
jkl469/imageprocessing
创建新项目测试
jkl469/ldbserver
cmake project
jkl469/maoxiandao_autoplayer
冒险岛雷电模拟器游戏脚本
jkl469/OUCML
jkl469/PETA
Official Pytorch Implementation of "PETA: Photo Albums Event Recognition using Transformers Attention" (2021)
jkl469/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.