Pinned Repositories
2022-Machine-Learning-Specialization
3D_ScatteringMatrix_RCWA
albert-embryology
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
article-downloader
Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.
attenuation_length
autoxgb
XGBoost + Optuna
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Basic_Machine_Learning_Algorithms
Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.
Benchmark-Problems-in-Machine-Learning-using-PhishingDataSet
The objective of the project is to implement some of the popular methodologies under supervised learning for solving the machine learning problem on Phishing dataset. The main aim of the project is to solve the multiclass classification problem using supervised learning methods like SVM, Neural Networks, Naïve Bayes, Decision Tree and Random Forest
WINTAOWANG's Repositories
WINTAOWANG/article-downloader
Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.
WINTAOWANG/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
WINTAOWANG/chroma
the AI-native open-source embedding database
WINTAOWANG/Conductive_heat_transferFall-2023-MEM-611
Conductive Heat Transfer
WINTAOWANG/crackpy
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
WINTAOWANG/cyaxares
A dense medium radiative transfer equation solver using Monte Carlo method
WINTAOWANG/FATE
An Industrial Grade Federated Learning Framework
WINTAOWANG/Generative-AI-Tutorial
A subjective learning guide for generative AI research
WINTAOWANG/gym
A toolkit for developing and comparing reinforcement learning algorithms.
WINTAOWANG/IRS
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
WINTAOWANG/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
WINTAOWANG/llama_index
LlamaIndex is a data framework for your LLM applications
WINTAOWANG/LLM-and-GenAI-in-Engineering
A Collection of Papers on the Use of LLM and GenAI in Engineering
WINTAOWANG/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
WINTAOWANG/llm-finetuning
Guide for fine-tuning Llama/Mistral/CodeLlama models and more
WINTAOWANG/LLM-FineTuning-Large-Language-Models
LLM (Large Language Model) FineTuning
WINTAOWANG/mmdetection
OpenMMLab Detection Toolbox and Benchmark
WINTAOWANG/MobiLlama
MobiLlama : Small Language Model tailored for edge devices
WINTAOWANG/nltk
NLTK Source
WINTAOWANG/OPF
Pytorch implementation of paper: Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.
WINTAOWANG/Parameter-Efficient-Fine-Tunning-of-LLMs
Evaluating PEFT methods on T5-small for language model fine-tuning.
WINTAOWANG/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
WINTAOWANG/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
WINTAOWANG/PhySO
Physical Symbolic Optimization
WINTAOWANG/PiNet
Prior Information based NEural neTwork (PiNet) is tailored for constitutive modelling and solving partial differential equations in soil mechanics and geotechnical engineering.
WINTAOWANG/SmallLanguageModel-project
this repository contains codes required to build a Small Language Model, using data gathered from Youtube Videos
WINTAOWANG/specmicp
EPFL SOURCE
WINTAOWANG/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
WINTAOWANG/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
WINTAOWANG/wintaowang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes