AI open source rankings.
Faster RCNN with PyTorch
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
AI-native software testing platform — one YAML test language covering API, Web, mobile, messaging, data, and LLM scenarios. Self-hostable.
Emu Series: Generative Multimodal Models from BAAI
安全场景、基于AI的安全算法和安全数据分析业界实践
A neurosymbolic perspective on LLMs
Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code.
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
Try out deep learning models online on Google Colab
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Bringing BERT into modernity via both architecture changes and scaling
自然语言处理、知识图谱、大语言模型，Agent等技术的前沿追踪、研究与应用。
Generate your Twitter bio with AI
Python AutoML for Trading Systems and Sports Betting
Vision utilities for web interaction agents 👀
"Multi-Level Intermediate Representation" Compiler Infrastructure
novel deep learning research works with PaddlePaddle
Layer Diffuse custom nodes
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
A domain specific language to express machine learning workloads.
Learn LLM internals step by step - from tokenization to attention to inference optimization.
Speedy Wavenet generation using dynamic programming :zap:
Fuel your productivity with ChatGPT-Desktop - Blazingly fast and supercharged!
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
AIdea 是一款支持 GPT 以及国产大语言模型通义千问、文心一言等，支持 Stable Diffusion 文生图、图生图、 SDXL1.0、超分辨率、图片上色的全能型 APP。
FSL-Mate: A collection of resources for few-shot learning (FSL).