ParagonLight

LLM-Study

dissector

This repo covers the implementation of the following ICSE 2020 paper, "DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection " (DISSECTOR).

alg.github.io

CDial-GPT

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

czsc

缠中说禅技术分析工具；缠论；股票；期货

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

DeepSpeedExamples

Example models using DeepSpeed

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

jingweix.github.io

Jingwei's page

jingweixu.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

LearningByCheating

Driving in CARLA using model-free deep reinforcement learning

leetCode

My leetCode code and thoughts

meteor-of-lora

moon-flask

南京大学软件所主页仓库

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

openai-cookbook

Examples and guides for using the OpenAI API

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pryder-crawler

Pyder, a simple configurable website crawler built with efficient and advanced features

recommender

An experimental recommender alogrithm implementation using matlab/octave

RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

stanford_alpaca

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

the-algorithm

Source code for Twitter's Recommendation Algorithm

TrojanNN

Trojan Attack on Neural Network

word2vec

Automatically exported from code.google.com/p/word2vec