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University of Texas at Austin
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A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neuroc…
Official implementation of the paper [New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning]
AdalFlow: The library to build & auto-optimize LLM applications.
Synthetic data curation for post-training and structured data extraction
Flexible Python configuration system. The last one you will ever need.
A spoken question answering dataset on SQUAD
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Temporal Reasoning via Audio Question Answering
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge managemen…
ESC-50: Dataset for Environmental Sound Classification
⭐️ Companies that don't have a broken hiring process
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A library for efficient similarity search and clustering of dense vectors.
Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
A curated list of awesome papers on dataset distillation and related applications.