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A library for efficient similarity search and clustering of dense vectors.
Anthropic's educational courses
Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics rec…
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
A collection of pre-trained, state-of-the-art models in the ONNX format
Minimal reproduction of DeepSeek R1-Zero
Fully open reproduction of DeepSeek-R1
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
This is the official release for paper "Real-Time Gaze Tracking with Event-Driven Eye Segmentation"
Magenta: Music and Art Generation with Machine Intelligence
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.
Tips for Writing a Research Paper using LaTeX
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
[AAAI 2023] Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
Layer Variational Analysis for Transfer Learning
Segment Anything in Medical Images