Pinned Repositories
awesome-active-learning
A curated list of awesome Active Learning
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
ChatIE
official repository for ChatIE paper and a tool of IE using ChatGPT. Note: we set a default openai key in the tool, you can tell us if reach limit. The response speed depends on the official openai chatgpt api. ( sometimes, the official is too crowded and the speed/model will be slow/overloaded.)
dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
estimating-mu-and-sigma-simultaneously-in-neural-network
Estimating mu and sigma simultaneously in neural network
ganhacks
starter from "How to Train a GAN?" at NIPS2016
Huatuo-Llama-Med-Chinese
Repo for HuaTuo (华驼), Llama-7B tuned with Chinese medical knowledge. 华驼模型仓库，基于中文医学知识的LLaMA模型指令微调
langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答
My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
ShellingFord221's Repositories
ShellingFord221/My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
ShellingFord221/estimating-mu-and-sigma-simultaneously-in-neural-network
Estimating mu and sigma simultaneously in neural network
ShellingFord221/awesome-active-learning
A curated list of awesome Active Learning
ShellingFord221/awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
ShellingFord221/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
ShellingFord221/ChatIE
official repository for ChatIE paper and a tool of IE using ChatGPT. Note: we set a default openai key in the tool, you can tell us if reach limit. The response speed depends on the official openai chatgpt api. ( sometimes, the official is too crowded and the speed/model will be slow/overloaded.)
ShellingFord221/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
ShellingFord221/ganhacks
starter from "How to Train a GAN?" at NIPS2016
ShellingFord221/Huatuo-Llama-Med-Chinese
Repo for HuaTuo (华驼), Llama-7B tuned with Chinese medical knowledge. 华驼模型仓库，基于中文医学知识的LLaMA模型指令微调
ShellingFord221/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答
ShellingFord221/Lifelong-Fewshot-Language-Learning
The code for lifelong few-shot language learning
ShellingFord221/mtranslate
A simple api for google translate
ShellingFord221/oie-resources
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
ShellingFord221/Pytorch-Memory-Utils
pytorch memory track code
ShellingFord221/LLM-Agents-Papers
A repo lists papers related to LLM based agent
ShellingFord221/localGPT
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
ShellingFord221/PyTorch-Tutorial
Build your neural network easy and fast
ShellingFord221/rags_chatgpt
Build ChatGPT over your data, all with natural language
ShellingFord221/ShellingFord221
Config files for my GitHub profile.
ShellingFord221/StockForecast
:dart: predict the price trend of individual stocks using deep learning and natural language processing
ShellingFord221/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
ShellingFord221/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.