- Canada
- zewen-chi.github.io
Highlights
- Pro
Stars
🦜🔗 Build context-aware reasoning applications
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
High-Resolution Image Synthesis with Latent Diffusion Models
LAVIS - A One-stop Library for Language-Vision Intelligence
Taming Transformers for High-Resolution Image Synthesis
Acceptance rates for the major AI conferences
Language-Agnostic SEntence Representations
Kandinsky 2 — multilingual text2image latent diffusion model
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…
A Unified Library for Parameter-Efficient and Modular Transfer Learning
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Multilingual word vectors in 78 languages
人工精调的中文对话数据集和一段chatglm的微调代码
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Convolutional Neural Network for Human Activity Recognition in Tensorflow
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
A PyTorch implementation of OpenAI's REPTILE algorithm
Annotated Flow Matching paper
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
Docker container for Kafka - Spark Streaming - Cassandra
Our solution for the arc challenge 2024
This is a collection of Papers and Codes for Noisy Labels Problem.
Code and data for the paper "Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?"