Lists (1)
Sort Name ascending (A-Z)
Stars
- All languages
- ASL
- Agda
- Assembly
- AutoHotkey
- AutoIt
- Batchfile
- Bikeshed
- C
- C#
- C++
- CSS
- Clojure
- CoffeeScript
- Common Lisp
- Coq
- Crystal
- Cuda
- Cython
- Dart
- Dockerfile
- Elixir
- Elm
- Erlang
- Gleam
- Go
- HTML
- Hack
- Handlebars
- Haskell
- Idris
- JSON
- Java
- JavaScript
- JetBrains MPS
- Jinja
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Less
- Lex
- Lua
- MDX
- Makefile
- Markdown
- Mojo
- NSIS
- Nim
- Nix
- OCaml
- Objective-C
- Objective-C++
- OpenEdge ABL
- PHP
- Pascal
- Perl
- PowerShell
- Python
- R
- Racket
- Reason
- Rich Text Format
- Roff
- Ruby
- Rust
- SCSS
- SMT
- Scala
- Scheme
- ShaderLab
- Shell
- Smali
- Standard ML
- Svelte
- Swift
- TeX
- TypeScript
- V
- VHDL
- Vala
- Vim Script
- Visual Basic
- Vue
- WebAssembly
- Wren
- Zig
- sed
Cantonese Grapheme-to-Phoneme Converter based on GitYCC/g2pW
Code for our paper "Graph Language Models"
A library written in rust with functions for Han character (in particular Cantonese) processing.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages -- ACL 2023
Companion code for the "When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations" paper.
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
An official pytorch implementation of EACL2024 short paper "Flow Matching for Conditional Text Generation in a Few Sampling Steps"
Generative Flow based Sequence-to-Sequence Toolkit written in Python.
DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Simple go utility to download HuggingFace Models and Datasets
Official pytorch implement of paper InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
Mutual Information in Pytorch
[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
PyTorch code and models for the DINOv2 self-supervised learning method.
Lossy compression; Variable rate compresson; Lossless compression;