xxchenxx's repositories
alpaca-lora
Instruct-tune LLaMA on consumer hardware
CLEAN
CLEAN: a contrastive learning model for high-quality functional prediction of proteins
COLLAPSE
Representation learning for protein functional site analysis
DecodingTrust
A Comprehensive Assessment of Trustworthiness in GPT Models
DREAM
Efficient Dataset Distillation by Representative Matching
Efficient-Dataset-Condensation
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
GAP
[ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
GEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
LOBFrame
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
PARSE
Protein Annotation by Residue-Specific Enrichment: a site-based statistical method for interpretable protein function annotation
proteinfer
Deep networks for protein functional inference
regression-transformer
Regression Transformer (2023; Nature Machine Intelligence)
RETFound_MAE
RETFound - A foundation model for retinal image
SCALEX
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
shot-fpfh
Comparison of SHOT and FPFH descriptors for 3D point clouds registration
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
xxchenxx.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics