🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
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🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Hierarchical Reasoning Model Official Release
An open-source, tool-augmented conversational language model from Fudan University
🐍 Geometric Computer Vision Library for Spatial AI
The official GitHub page for the survey paper "A Survey of Large Language Models".
A collaboration friendly studio for NeRFs
An educational resource to help anyone learn deep reinforcement learning.
pix2code: Generating Code from a Graphical User Interface Screenshot
A PyTorch-based Speech Toolkit
TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.
TranslatedChatGPT Chinese guide🔥, ChatGPT Chinese tuning guide, prompt guide, application development guide, curated resource list, to use ChatGPT better and make your productivity go up up up! 🚀
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
A paper list of object detection using deep learning.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Minimal and clean examples of machine learning algorithms implementations
Style transfer, deep learning, feature transform
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
An elegant PyTorch deep reinforcement learning library.