SJWang2015
Follow
Starred repositories
90
results
for source starred repositories
written in Jupyter Notebook
Clear filter
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn OpenCV : C++ and Python Examples
llama3 implementation one matrix multiplication at a time
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
My blogs and code for machine learning. http://cnblogs.com/pinard
LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
✔（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】
Python code for "Probabilistic Machine learning" book by Kevin Murphy
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
A course in reinforcement learning in the wild
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Coding the Machine Learning Tutorial for Learning to Learn
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…
Making Protein folding accessible to all!
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Notebooks about Bayesian methods for machine learning
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.