xxchenxx's repositories

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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alpaca-lora

Instruct-tune LLaMA on consumer hardware

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CLEAN

CLEAN: a contrastive learning model for high-quality functional prediction of proteins

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COLLAPSE

Representation learning for protein functional site analysis

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DecodingTrust

A Comprehensive Assessment of Trustworthiness in GPT Models

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DREAM

Efficient Dataset Distillation by Representative Matching

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Efficient-Dataset-Condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

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FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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GAP

[ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization

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GEARS

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

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kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

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lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

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LLaMA-Factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

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lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

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LOBFrame

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

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Open-L2O

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

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openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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PARSE

Protein Annotation by Residue-Specific Enrichment: a site-based statistical method for interpretable protein function annotation

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proteinfer

Deep networks for protein functional inference

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regression-transformer

Regression Transformer (2023; Nature Machine Intelligence)

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RETFound_MAE

RETFound - A foundation model for retinal image

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SCALEX

Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

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shot-fpfh

Comparison of SHOT and FPFH descriptors for 3D point clouds registration

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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xxchenxx.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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