demi543

demi543's Stars

• whitzard-ai/jade-db

  "他山之石、可以攻玉"：复旦白泽智能发布面向国内开源和国外商用大模型的Demo数据集JADE-DB

  30019

• Algorithmic-Alignment-Lab/CommonClaim

  Explore, Establish, Exploit: Red Teaming Language Models from Scratch

  101

• thestephencasper/explore_establish_exploit_llms

  Language:Python307

• thu-coai/Safety-Prompts

  Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

  85281

• kaistAI/FLASK

  [ICLR 2024 Spotlight] FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

  Language:Python20918

• FMInference/FlexiGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.1k541

• wgwang/awesome-LLMs-In-China

  **大模型

  5.3k438

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python14.7k2.6k

• jefferywmoore/CISSP-Study-Resources

  CISSP Resources

  423149

• stanford-crfm/helm

  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

  Language:Python1.9k243

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.1k482

• WeOpenML/PandaLM

  Language:Python88267

• pliang279/MultiBench

  [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

  Language:HTML47868

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.4k1.1k

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook9.8k1.4k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3.8k

• jaymody/picoGPT

  An unnecessarily tiny implementation of GPT-2 in NumPy.

  Language:Python3.2k411

• hugozanini/yolov7-tfjs

  Object Detection using Yolov7 in tensorflow.js

  Language:JavaScript7618

• lindsey98/Phishpedia

  Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21

  Language:Python12138

• positive666/yolo_research

  based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C

  Language:Python754143

• SchneiderJs/Fault-detection-in-electrical-insulators

  Avaliação de Isoladores Elétricos Utilizando Ultrassom e Aprendizado de Máquina

  Language:Jupyter Notebook71

• Luis-kuhn-zz/PythonFundamentos

  Repositório do Curso Online Python Fundamentos

  Language:Jupyter Notebook3

• Luis-kuhn-zz/py

  Repository to store sample python programs for python learning

  2

• Luis-kuhn-zz/free-programming-books

  :books: Freely available programming books

  1

• Luis-kuhn-zz/K-Fold-cross-validation

  Language:Jupyter Notebook1

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.3k2.2k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML31.7k10.6k

• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML18k5.9k

• rcouturier/steganalysis_with_CNN_and_SRM

  code of our paper entitled: Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the AppropriateSteganalyzer between CNN and SRM+EC

  Language:Python2810

• rcouturier/steganalysis_with_CNN_for_same_key_images

  Language:Lua97