Taming Transformers for High-Resolution Image Synthesis
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Accepted as [NeurIPS 2024] Spotlight Presentation Paper
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
- tensorflow
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- time-series-classification
- deep-learning
- fastai
- pytorch
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
- unsloth
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
- human-pose-estimation
- realtime
- caffe
- human-behavior-understanding
Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇
- hugo
- website-generation
- academic
- netlify
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
- dependency-graph
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.
- computer-vision
- deepsort
- diffusion-models
- onnx
[ICCV 2019] Monocular depth estimation from a single image
- depth-estimation
- neural-network
- deep-learning
- self-supervision
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
- pytorch
- object-detection
- faster-rcnn
- voc
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
- phi3
- phi3-testing
- phi3-vision
- phi4
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
- machine-learning
- multivariate-statistics
- pca
- regression
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.