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A fast MoE finetuning for ultimate efficiency.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
✨✨Latest Advances on Multimodal Large Language Models
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
OpenMMLab Detection Toolbox and Benchmark
Models and examples built with TensorFlow
The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"
The Python Code Tutorials
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
A selection of state-of-the-art research materials on trajectory prediction
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Upscale an image by a factor of 4, while generating photo-realistic details.
The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to g…
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Latex code for making neural networks diagrams
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
The devkit of the nuScenes dataset.
All Algorithms implemented in Python
note for the book Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython by Wes McKinney