labmlai / annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
☆57,862Updated 4 months ago
Alternatives and similar repositories for annotated_deep_learning_paper_implementations:
Users that are interested in annotated_deep_learning_paper_implementations are comparing it to the libraries listed below
- A playbook for systematically maximizing the performance of deep learning models.☆27,833Updated 6 months ago
- 深度学习经典、新论文逐段精读☆27,836Updated last month
- 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.☆14,073Updated last year
- 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.…☆11,676Updated last month
- A collection of resources and papers on Diffusion Models☆11,326Updated 5 months ago
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆21,457Updated last week
- CVPR 2024 论文和开源项目合集☆18,718Updated 6 months ago
- ✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】☆6,759Updated 3 weeks ago
- 一本系统地教你将深度学习模型的性能最大化的战术手册。☆2,697Updated last year
- The official GitHub page for the survey paper "A Survey of Large Language Models".☆10,800Updated 4 months ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆137,641Updated this week
- An annotated implementation of the Transformer paper.☆5,900Updated 9 months ago
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training☆20,800Updated 5 months ago
- Making large AI models cheaper, faster and more accessible☆39,013Updated last week
- Code examples in pyTorch and Tensorflow for CS230☆3,979Updated last year
- Notes about courses Dive into Deep Learning by Mu Li☆3,442Updated last year
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆28,796Updated last week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆36,231Updated this week
- PyTorch implementations of Generative Adversarial Networks.☆16,682Updated 6 months ago
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆8,980Updated 9 months ago
- Google Research☆34,691Updated this week
- ☆10,780Updated last month
- deep learning for image processing including classification and object-detection etc.☆23,820Updated this week
- 《Pytorch模型训练实用教程》中配套代码☆7,628Updated last week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆32,899Updated this week
- A concise but complete full-attention transformer with a set of promising experimental features from various papers☆4,979Updated last week
- 强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/☆9,928Updated 2 months ago
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆8,701Updated 3 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,650Updated this week
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆26,971Updated 5 months ago