Jason Dou's repositories
screentocode
just try
Personal_LLM_Agents_Survey
Paper list for Personal LLM Agents
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
run
润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。
clinsent
Estimate sentiment in clinical notes via keywords or deep learning models
Deep-Transfer-Learning-Package-Release-Sep2022
deep transfer learning, DANN, model-based transfer learning
RealChar
🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime(All in One Codebase!). Have a natural seamless conversation with AI everywhere(mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech🎙️🤖
weaksup-subset-selection
Subset selection / data pruning for weak supervision
submodlib
Summarize Massive Datasets using Submodular Optimization
Coreset_LIMU
A lite BERT-like representation model for IMU sensor data
cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
CloverBot
Pitt Challenge hackthon Project
SCALEX
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
dl-for-har
Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')
InfoOT
InfoOT: Information Maximizing Optimal Transport
PowerBERT
Code for paper: Detecting Cyber Attacks in Smart Grid Systems with Massive Unlabeled Sensing Data
leap
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
DeepCore
Code for coreset selection methods
NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
CompBioDatasetsForMachineLearning
A Curated List of Computational Biology Datasets Suitable for Machine Learning
learnopencv
Learn OpenCV : C++ and Python Examples
haystack
Discovering causal transcription factors from single-cell RNA-seq data
lspin
yale tabular biomedical data