lppllppl920
Senior Machine Learning Engineer at Intuitive Surgical, Inc. | Ph.D. in Computer Science from Johns Hopkins University
Intuitive Surgical, Inc.Cupertino, California
lppllppl920's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
meta-llama/llama
Inference code for Llama models
hiyouga/LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
facebookresearch/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
Lightning-AI/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
NVlabs/neuralangelo
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
AutoGPTQ/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
yizhongw/self-instruct
Aligning pretrained language models with instruction data generated by themselves.
h2oai/h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
turboderp/exllama
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
huggingface/safetensors
Simple, safe way to store and distribute tensors
DAMO-NLP-SG/Video-LLaMA
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
pytorch/TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Zjh-819/LLMDataHub
A quick guide (especially) for trending instruction finetuning datasets
isl-org/DPT
Dense Prediction Transformers
IST-DASLab/gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
marella/ctransformers
Python bindings for the Transformer models implemented in C/C++ using GGML library.
google-research/fixmatch
A simple method to perform semi-supervised learning with limited data.
jondurbin/airoboros
Customizable implementation of the self-instruct paper.
kuleshov-group/llmtools
Finetuning Large Language Models on One Consumer GPU in Under 4 Bits
HRNet/HRFormer
[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".
hitachinsk/SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
mshumer/gpt-oracle-trainer
durandtibo/wildcat.pytorch
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
BooHwang/segment_anything_tensorrt
Accelerate segment anything model inference using Tensorrt 8.6.1.6
ssalazarcolores/Desmoking-laparoscopy-surgery-images-using-an-image-to-image-translation-guided-by-an-embedded-Dark-
Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded Dark channel
yiroup20/DeSmoke-LAP