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All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Making large AI models cheaper, faster and more accessible
OpenMMLab Detection Toolbox and Benchmark
deep learning for image processing including classification and object-detection etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
A faster pytorch implementation of faster r-cnn
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
A PyTorch implementation of the YOLO v3 object detection algorithm
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
ComfyUI's ControlNet Auxiliary Preprocessors
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等
Retina blood vessel segmentation with a convolutional neural network
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.