A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Awesome-LLM: a curated list of Large Language Model

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

An awesome & curated list of best LLMOps tools for developers

The official GitHub page for the survey paper "A Survey of Large Language Models".

MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding、graph，etc

Implementation of momentum^2 teacher

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

Light-Head R-CNN in PyTorch

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

[This project has moved to ChainerCV] Chainer Implementation of Light Head RCNN

Light-Head R-CNN

Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)

Deformable convolution net on Tensorflow

Object Detection

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Cache efficient implementation for Latent Dirichlet Allocation

A curated list of awesome Machine Learning frameworks, libraries and software.

A curated list of awesome Deep Learning tutorials, projects and communities.

机器学习算法库，涉及Topic Model、矩阵分解、最优化方法(Newton)、时间序列分析等常用挖掘功能.