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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, ... 🧠

coursera-machine-learning

Notes and Assignments for Andrew Ng's Machine Learning - Python3 code

cssummercamp2022

关于2022年CS保研夏令营通知公告的汇总。欢迎大家积极分享夏令营信息，资瓷一下互联网精神吼不吼啊？

deep-learning-homework

吴恩达 深度学习课程 课件与作业

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

diffusers_jittor

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

drag3d

DragGAN meets GET3D for interactive mesh generation and editing.

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

jtorch

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

transformers_jittor

Forked from huggingface/transformers and Adapt to jittor