szq0214

llama.cpp

LLM inference in C/C++

llama

Inference code for LLaMA models

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

stanford_alpaca

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

alpaca-lora

Instruct-tune LLaMA on consumer hardware

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

point-e

Point cloud diffusion for 3D model synthesis

awesome-NeRF

A curated list of awesome neural radiance fields papers

ConvNeXt

Code release for ConvNeXt model

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

GPT-4-LLM

Instruction Tuning with GPT-4

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

esm

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

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

hlb-CIFAR10

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

dropout

Code release for "Dropout Reduces Underfitting"

ReActNet

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

ViT-Slim

Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”

FKD

Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"

Un-Mix

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.

Nonuniform-to-Uniform-Quantization

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.

S2-BNN

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

SReT

Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"

AdamBNN

How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.

BNN_NoBN

[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

PromptCAL

Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery (CVPR'23)

Transferable_RA

i-mae

i-mae Pytorch Repo